As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

Types for Google Maps Routeoptimization v1 API¶

class google.maps.routeoptimization_v1.types.AggregatedMetrics(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Aggregated metrics for [ShipmentRoute][google.maps.routeoptimization.v1.ShipmentRoute] (resp. for [OptimizeToursResponse][google.maps.routeoptimization.v1.OptimizeToursResponse] over all [Transition][google.maps.routeoptimization.v1.ShipmentRoute.Transition] and/or [Visit][google.maps.routeoptimization.v1.ShipmentRoute.Visit] (resp. over all [ShipmentRoute][google.maps.routeoptimization.v1.ShipmentRoute]) elements.

performed_shipment_count¶

Number of shipments performed. Note that a pickup and delivery pair only counts once.

Type: int

performed_mandatory_shipment_count¶

Number of mandatory shipments performed.

Experimental: This field’s behavior or existence may change in future.

This field is a member of oneof _performed_mandatory_shipment_count.

Type: int

performed_shipment_penalty_cost_sum¶

The sum of the [Shipment.penalty_cost][google.maps.routeoptimization.v1.Shipment.penalty_cost] of the performed shipments.

Experimental: This field’s behavior or existence may change in future.

This field is a member of oneof _performed_shipment_penalty_cost_sum.

Type: float

travel_duration¶

Total travel duration for a route or a solution.

Type: google.protobuf.duration_pb2.Duration

wait_duration¶

Total wait duration for a route or a solution.

Type: google.protobuf.duration_pb2.Duration

delay_duration¶

Total delay duration for a route or a solution.

Type: google.protobuf.duration_pb2.Duration

break_duration¶

Total break duration for a route or a solution.

Type: google.protobuf.duration_pb2.Duration

visit_duration¶

Total visit duration for a route or a solution.

Type: google.protobuf.duration_pb2.Duration

total_duration¶

The total duration should be equal to the sum of all durations above. For routes, it also corresponds to:

[ShipmentRoute.vehicle_end_time][google.maps.routeoptimization.v1.ShipmentRoute.vehicle_end_time]
-
[ShipmentRoute.vehicle_start_time][google.maps.routeoptimization.v1.ShipmentRoute.vehicle_start_time]

Type: google.protobuf.duration_pb2.Duration

travel_distance_meters¶

Total travel distance for a route or a solution.

Type: float

max_loads¶

Maximum load achieved over the entire route (resp. solution), for each of the quantities on this route (resp. solution), computed as the maximum over all [Transition.vehicle_loads][google.maps.routeoptimization.v1.ShipmentRoute.Transition.vehicle_loads] (resp. [ShipmentRoute.metrics.max_loads][google.maps.routeoptimization.v1.AggregatedMetrics.max_loads].

Type: MutableMapping[str, google.maps.routeoptimization_v1.types.ShipmentRoute.VehicleLoad]

class MaxLoadsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)¶: Bases: proto.message.Message

class google.maps.routeoptimization_v1.types.BatchOptimizeToursMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Operation metadata for BatchOptimizeToursRequest calls.

class google.maps.routeoptimization_v1.types.BatchOptimizeToursRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Request to batch optimize tours as an asynchronous operation. Each input file should contain one OptimizeToursRequest, and each output file will contain one OptimizeToursResponse. The request contains information to read/write and parse the files. All the input and output files should be under the same project.

parent¶

Required. Target project and location to make a call.

Format:

projects/{project-id}
projects/{project-id}/locations/{location-id}

If no location is specified, a region will be chosen automatically.

Type: str

model_configs¶

Required. Input/Output information each purchase model, such as file paths and data formats.

Type: MutableSequence[google.maps.routeoptimization_v1.types.BatchOptimizeToursRequest.AsyncModelConfig]

class AsyncModelConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Information for solving one optimization model asynchronously.

display_name¶

Optional. User defined model name, can be used as alias by users to keep track of models.

Type: str

input_config¶

Required. Information about the input model.

Type: google.maps.routeoptimization_v1.types.InputConfig

output_config¶

Required. The desired output location information.

Type: google.maps.routeoptimization_v1.types.OutputConfig

class google.maps.routeoptimization_v1.types.BatchOptimizeToursResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Response to a BatchOptimizeToursRequest. This is returned in the Long Running Operation after the operation is complete.

class google.maps.routeoptimization_v1.types.BreakRule(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Rules to generate time breaks for a vehicle (e.g. lunch breaks). A break is a contiguous period of time during which the vehicle remains idle at its current position and cannot perform any visit. A break may occur:

during the travel between two visits (which includes the time right before or right after a visit, but not in the middle of a visit), in which case it extends the corresponding transit time between the visits,
or before the vehicle start (the vehicle may not start in the middle of a break), in which case it does not affect the vehicle start time.
or after the vehicle end (ditto, with the vehicle end time).

break_requests¶

Sequence of breaks. See the BreakRequest message.

Type: MutableSequence[google.maps.routeoptimization_v1.types.BreakRule.BreakRequest]

frequency_constraints¶

Several FrequencyConstraint may apply. They must all be satisfied by the BreakRequests of this BreakRule. See FrequencyConstraint.

Type: MutableSequence[google.maps.routeoptimization_v1.types.BreakRule.FrequencyConstraint]

class BreakRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The sequence of breaks (i.e. their number and order) that apply to each vehicle must be known beforehand. The repeated BreakRequests define that sequence, in the order in which they must occur. Their time windows (earliest_start_time / latest_start_time) may overlap, but they must be compatible with the order (this is checked).

earliest_start_time¶

Required. Lower bound (inclusive) on the start of the break.

Type: google.protobuf.timestamp_pb2.Timestamp

latest_start_time¶

Required. Upper bound (inclusive) on the start of the break.

Type: google.protobuf.timestamp_pb2.Timestamp

min_duration¶

Required. Minimum duration of the break. Must be positive.

Type: google.protobuf.duration_pb2.Duration

class FrequencyConstraint(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

One may further constrain the frequency and duration of the breaks specified above, by enforcing a minimum break frequency, such as “There must be a break of at least 1 hour every 12 hours”. Assuming that this can be interpreted as “Within any sliding time window of 12h, there must be at least one break of at least one hour”, that example would translate to the following FrequencyConstraint:

{
   min_break_duration { seconds: 3600 }         # 1 hour.
   max_inter_break_duration { seconds: 39600 }  # 11 hours (12 - 1 = 11).
}

The timing and duration of the breaks in the solution will respect all such constraints, in addition to the time windows and minimum durations already specified in the BreakRequest.

A FrequencyConstraint may in practice apply to non-consecutive breaks. For example, the following schedule honors the “1h every 12h” example:

04:00 vehicle start
 .. performing travel and visits ..
09:00 1 hour break
10:00 end of the break
 .. performing travel and visits ..
12:00 20-min lunch break
12:20 end of the break
 .. performing travel and visits ..
21:00 1 hour break
22:00 end of the break
 .. performing travel and visits ..
23:59 vehicle end

min_break_duration¶

Required. Minimum break duration for this constraint. Nonnegative. See description of FrequencyConstraint.

Type: google.protobuf.duration_pb2.Duration

max_inter_break_duration¶

Required. Maximum allowed span of any interval of time in the route that does not include at least partially a break of duration >= min_break_duration. Must be positive.

Type: google.protobuf.duration_pb2.Duration

class google.maps.routeoptimization_v1.types.DataFormat(value)[source]¶

Bases: proto.enums.Enum

Data formats for input and output files.

Values:

DATA_FORMAT_UNSPECIFIED (0):: Invalid value, format must not be UNSPECIFIED.
JSON (1):: JavaScript Object Notation.
PROTO_TEXT (2):: Protocol Buffers text format. See https://protobuf.dev/reference/protobuf/textformat-spec/

class google.maps.routeoptimization_v1.types.DistanceLimit(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

A limit defining a maximum distance which can be traveled. It can be either hard or soft.

If a soft limit is defined, both soft_max_meters and cost_per_kilometer_above_soft_max must be defined and be nonnegative.

max_meters¶

A hard limit constraining the distance to be at most max_meters. The limit must be nonnegative.

This field is a member of oneof _max_meters.

Type: int

soft_max_meters¶

A soft limit not enforcing a maximum distance limit, but when violated results in a cost which adds up to other costs defined in the model, with the same unit.

If defined soft_max_meters must be less than max_meters and must be nonnegative.

This field is a member of oneof _soft_max_meters.

Type: int

cost_per_kilometer_below_soft_max¶

Cost per kilometer incurred, increasing up to soft_max_meters, with formula:

min(distance_meters, soft_max_meters) / 1000.0 *
cost_per_kilometer_below_soft_max.

This cost is not supported in route_distance_limit.

This field is a member of oneof _cost_per_kilometer_below_soft_max.

Type: float

cost_per_kilometer_above_soft_max¶

Cost per kilometer incurred if distance is above soft_max_meters limit. The additional cost is 0 if the distance is under the limit, otherwise the formula used to compute the cost is the following:

(distance_meters - soft_max_meters) / 1000.0 *
cost_per_kilometer_above_soft_max.

The cost must be nonnegative.

This field is a member of oneof _cost_per_kilometer_above_soft_max.

Type: float

class google.maps.routeoptimization_v1.types.GcsDestination(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The Google Cloud Storage location where the output file(s) will be written to.

uri¶

Required. Google Cloud Storage URI.

Type: str

class google.maps.routeoptimization_v1.types.GcsSource(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The Google Cloud Storage location where the input file will be read from.

uri¶

Required. URI of a Google Cloud Storage object with the format gs://bucket/path/to/object.

Type: str

class google.maps.routeoptimization_v1.types.InjectedSolutionConstraint(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Solution injected in the request including information about which visits must be constrained and how they must be constrained.

routes¶

Routes of the solution to inject. Some routes may be omitted from the original solution. The routes and skipped shipments must satisfy the basic validity assumptions listed for injected_first_solution_routes.

Type: MutableSequence[google.maps.routeoptimization_v1.types.ShipmentRoute]

skipped_shipments¶

Skipped shipments of the solution to inject. Some may be omitted from the original solution. See the routes field.

Type: MutableSequence[google.maps.routeoptimization_v1.types.SkippedShipment]

constraint_relaxations¶

For zero or more groups of vehicles, specifies when and how much to relax constraints. If this field is empty, all non-empty vehicle routes are fully constrained.

Type: MutableSequence[google.maps.routeoptimization_v1.types.InjectedSolutionConstraint.ConstraintRelaxation]

class ConstraintRelaxation(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

For a group of vehicles, specifies at what threshold(s) constraints on visits will be relaxed and to which level. Shipments listed in the skipped_shipment field are constrained to be skipped; i.e., they cannot be performed.

relaxations¶

All the visit constraint relaxations that will apply to visits on routes with vehicles in vehicle_indices.

Type: MutableSequence[google.maps.routeoptimization_v1.types.InjectedSolutionConstraint.ConstraintRelaxation.Relaxation]

vehicle_indices¶

Specifies the vehicle indices to which the visit constraint relaxations apply. If empty, this is considered the default and the relaxations apply to all vehicles that are not specified in other constraint_relaxations. There can be at most one default, i.e., at most one constraint relaxation field is allowed empty vehicle_indices. A vehicle index can only be listed once, even within several constraint_relaxations.

A vehicle index is mapped the same as [ShipmentRoute.vehicle_index][google.maps.routeoptimization.v1.ShipmentRoute.vehicle_index], if interpret_injected_solutions_using_labels is true (see fields comment).

Type: MutableSequence[int]

class Relaxation(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

If relaxations is empty, the start time and sequence of all visits on routes are fully constrained and no new visits may be inserted or added to those routes. Also, a vehicle’s start and end time in routes is fully constrained, unless the vehicle is empty (i.e., has no visits and has used_if_route_is_empty set to false in the model).

relaxations(i).level specifies the constraint relaxation level applied to a visit #j that satisfies:

route.visits(j).start_time >= relaxations(i).threshold_time AND
j + 1 >= relaxations(i).threshold_visit_count

Similarly, the vehicle start is relaxed to relaxations(i).level if it satisfies:

vehicle_start_time >= relaxations(i).threshold_time AND
relaxations(i).threshold_visit_count == 0 and the vehicle end is relaxed to relaxations(i).level if it satisfies:
vehicle_end_time >= relaxations(i).threshold_time AND
route.visits_size() + 1 >= relaxations(i).threshold_visit_count

To apply a relaxation level if a visit meets the threshold_visit_count OR the threshold_time add two relaxations with the same level: one with only threshold_visit_count set and the other with only threshold_time set. If a visit satisfies the conditions of multiple relaxations, the most relaxed level applies. As a result, from the vehicle start through the route visits in order to the vehicle end, the relaxation level becomes more relaxed: i.e., the relaxation level is non-decreasing as the route progresses.

The timing and sequence of route visits that do not satisfy the threshold conditions of any relaxations are fully constrained and no visits may be inserted into these sequences. Also, if a vehicle start or end does not satisfy the conditions of any relaxation the time is fixed, unless the vehicle is empty.

level¶

The constraint relaxation level that applies when the conditions at or after threshold_time AND at least threshold_visit_count are satisfied.

Type: google.maps.routeoptimization_v1.types.InjectedSolutionConstraint.ConstraintRelaxation.Relaxation.Level

threshold_time¶

The time at or after which the relaxation level may be applied.

Type: google.protobuf.timestamp_pb2.Timestamp

threshold_visit_count¶

The number of visits at or after which the relaxation level may be applied. If threshold_visit_count is 0 (or unset), the level may be applied directly at the vehicle start.

If it is route.visits_size() + 1, the level may only be applied to the vehicle end. If it is more than route.visits_size() + 1, level is not applied at all for that route.

Type: int

class Level(value)[source]¶

Bases: proto.enums.Enum

Expresses the different constraint relaxation levels, which are applied for a visit and those that follow when it satisfies the threshold conditions.

The enumeration below is in order of increasing relaxation.

Values:

LEVEL_UNSPECIFIED (0):

Implicit default relaxation level: no constraints are relaxed, i.e., all visits are fully constrained.

This value must not be explicitly used in level.

RELAX_VISIT_TIMES_AFTER_THRESHOLD (1):

Visit start times and vehicle start/end times will be relaxed, but each visit remains bound to the same vehicle and the visit sequence must be observed: no visit can be inserted between them or before them.

RELAX_VISIT_TIMES_AND_SEQUENCE_AFTER_THRESHOLD (2):

Same as RELAX_VISIT_TIMES_AFTER_THRESHOLD, but the visit sequence is also relaxed: visits can only be performed by this vehicle, but can potentially become unperformed.

RELAX_ALL_AFTER_THRESHOLD (3):

Same as RELAX_VISIT_TIMES_AND_SEQUENCE_AFTER_THRESHOLD, but the vehicle is also relaxed: visits are completely free at or after the threshold time and can potentially become unperformed.

class google.maps.routeoptimization_v1.types.InputConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Specify an input for [BatchOptimizeTours][google.maps.routeoptimization.v1.RouteOptimizationService.BatchOptimizeTours].

gcs_source¶

A Google Cloud Storage location. This must be a single object (file).

This field is a member of oneof source.

Type: google.maps.routeoptimization_v1.types.GcsSource

data_format¶

Required. The input data format.

Type: google.maps.routeoptimization_v1.types.DataFormat

class google.maps.routeoptimization_v1.types.Location(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Encapsulates a location (a geographic point, and an optional heading).

lat_lng¶

The waypoint’s geographic coordinates.

Type: google.type.latlng_pb2.LatLng

heading¶

The compass heading associated with the direction of the flow of traffic. This value is used to specify the side of the road to use for pickup and drop-off. Heading values can be from 0 to 360, where 0 specifies a heading of due North, 90 specifies a heading of due East, etc.

This field is a member of oneof _heading.

Type: int

class google.maps.routeoptimization_v1.types.OptimizeToursLongRunningMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Operation metadata for OptimizeToursLongRunning calls.

class google.maps.routeoptimization_v1.types.OptimizeToursRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Request to be given to a tour optimization solver which defines the shipment model to solve as well as optimization parameters.

parent¶

Required. Target project or location to make a call.

Format:

projects/{project-id}
projects/{project-id}/locations/{location-id}

If no location is specified, a region will be chosen automatically.

Type: str

timeout¶

If this timeout is set, the server returns a response before the timeout period has elapsed or the server deadline for synchronous requests is reached, whichever is sooner.

For asynchronous requests, the server will generate a solution (if possible) before the timeout has elapsed.

Type: google.protobuf.duration_pb2.Duration

model¶

Shipment model to solve.

Type: google.maps.routeoptimization_v1.types.ShipmentModel

solving_mode¶

By default, the solving mode is DEFAULT_SOLVE (0).

Type: google.maps.routeoptimization_v1.types.OptimizeToursRequest.SolvingMode

search_mode¶

Search mode used to solve the request.

Type: google.maps.routeoptimization_v1.types.OptimizeToursRequest.SearchMode

injected_first_solution_routes¶

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

for all routes, vehicle_index must be in range and not be duplicated.
for all visits, shipment_index and visit_request_index must be in range.
a shipment may only be referenced on one route.
the pickup of a pickup-delivery shipment must be performed before the delivery.
no more than one pickup alternative or delivery alternative of a shipment may be performed.
for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).
a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if [Shipment.allowed_vehicle_indices][google.maps.routeoptimization.v1.Shipment.allowed_vehicle_indices] is empty or its vehicle_index is included in [Shipment.allowed_vehicle_indices][google.maps.routeoptimization.v1.Shipment.allowed_vehicle_indices].

If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

Type: MutableSequence[google.maps.routeoptimization_v1.types.ShipmentRoute]

injected_solution_constraint¶

Constrain the optimization algorithm to find a final solution that is similar to a previous solution. For example, this may be used to freeze portions of routes which have already been completed or which are to be completed but must not be modified.

If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

Type: google.maps.routeoptimization_v1.types.InjectedSolutionConstraint

refresh_details_routes¶

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

Type: MutableSequence[google.maps.routeoptimization_v1.types.ShipmentRoute]

interpret_injected_solutions_using_labels¶

If true:

uses [ShipmentRoute.vehicle_label][google.maps.routeoptimization.v1.ShipmentRoute.vehicle_label] instead of vehicle_index to match routes in an injected solution with vehicles in the request; reuses the mapping of original [ShipmentRoute.vehicle_index][google.maps.routeoptimization.v1.ShipmentRoute.vehicle_index] to new [ShipmentRoute.vehicle_index][google.maps.routeoptimization.v1.ShipmentRoute.vehicle_index] to update [ConstraintRelaxation.vehicle_indices][google.maps.routeoptimization.v1.InjectedSolutionConstraint.ConstraintRelaxation.vehicle_indices] if non-empty, but the mapping must be unambiguous (i.e., multiple ShipmentRoutes must not share the same original vehicle_index).
uses [ShipmentRoute.Visit.shipment_label][google.maps.routeoptimization.v1.ShipmentRoute.Visit.shipment_label] instead of shipment_index to match visits in an injected solution with shipments in the request;
uses [SkippedShipment.label][google.maps.routeoptimization.v1.SkippedShipment.label] instead of [SkippedShipment.index][google.maps.routeoptimization.v1.SkippedShipment.index] to match skipped shipments in the injected solution with request shipments.

This interpretation applies to the injected_first_solution_routes, injected_solution_constraint, and refresh_details_routes fields. It can be used when shipment or vehicle indices in the request have changed since the solution was created, perhaps because shipments or vehicles have been removed from or added to the request.

If true, labels in the following categories must appear at most once in their category:

[Vehicle.label][google.maps.routeoptimization.v1.Vehicle.label] in the request;
[Shipment.label][google.maps.routeoptimization.v1.Shipment.label] in the request;
[ShipmentRoute.vehicle_label][google.maps.routeoptimization.v1.ShipmentRoute.vehicle_label] in the injected solution;
[SkippedShipment.label][google.maps.routeoptimization.v1.SkippedShipment.label] and [ShipmentRoute.Visit.shipment_label][google.maps.routeoptimization.v1.ShipmentRoute.Visit.shipment_label] in the injected solution (except pickup/delivery visit pairs, whose shipment_label must appear twice).

If a vehicle_label in the injected solution does not correspond to a request vehicle, the corresponding route is removed from the solution along with its visits. If a shipment_label in the injected solution does not correspond to a request shipment, the corresponding visit is removed from the solution. If a [SkippedShipment.label][google.maps.routeoptimization.v1.SkippedShipment.label] in the injected solution does not correspond to a request shipment, the SkippedShipment is removed from the solution.

Removing route visits or entire routes from an injected solution may have an effect on the implied constraints, which may lead to change in solution, validation errors, or infeasibility.

NOTE: The caller must ensure that each [Vehicle.label][google.maps.routeoptimization.v1.Vehicle.label] (resp. [Shipment.label][google.maps.routeoptimization.v1.Shipment.label]) uniquely identifies a vehicle (resp. shipment) entity used across the two relevant requests: the past request that produced the OptimizeToursResponse used in the injected solution and the current request that includes the injected solution. The uniqueness checks described above are not enough to guarantee this requirement.

Type: bool

consider_road_traffic¶

Consider traffic estimation in calculating ShipmentRoute fields [Transition.travel_duration][google.maps.routeoptimization.v1.ShipmentRoute.Transition.travel_duration], [Visit.start_time][google.maps.routeoptimization.v1.ShipmentRoute.Visit.start_time], and vehicle_end_time; in setting the [ShipmentRoute.has_traffic_infeasibilities][google.maps.routeoptimization.v1.ShipmentRoute.has_traffic_infeasibilities] field, and in calculating the [OptimizeToursResponse.total_cost][google.maps.routeoptimization.v1.OptimizeToursResponse.total_cost] field.

Type: bool

populate_polylines¶

If true, polylines will be populated in response ShipmentRoutes.

Type: bool

populate_transition_polylines¶

If true, polylines and route tokens will be populated in response [ShipmentRoute.transitions][google.maps.routeoptimization.v1.ShipmentRoute.transitions].

Type: bool

allow_large_deadline_despite_interruption_risk¶

If this is set, then the request can have a deadline (see https://grpc.io/blog/deadlines) of up to 60 minutes. Otherwise, the maximum deadline is only 30 minutes. Note that long-lived requests have a significantly larger (but still small) risk of interruption.

Type: bool

use_geodesic_distances¶

If true, travel distances will be computed using geodesic distances instead of Google Maps distances, and travel times will be computed using geodesic distances with a speed defined by geodesic_meters_per_second.

Type: bool

geodesic_meters_per_second¶

When use_geodesic_distances is true, this field must be set and defines the speed applied to compute travel times. Its value must be at least 1.0 meters/seconds.

This field is a member of oneof _geodesic_meters_per_second.

Type: float

max_validation_errors¶

Truncates the number of validation errors returned. These errors are typically attached to an INVALID_ARGUMENT error payload as a BadRequest error detail (https://cloud.google.com/apis/design/errors#error_details), unless solving_mode=VALIDATE_ONLY: see the [OptimizeToursResponse.validation_errors][google.maps.routeoptimization.v1.OptimizeToursResponse.validation_errors] field. This defaults to 100 and is capped at 10,000.

This field is a member of oneof _max_validation_errors.

Type: int

label¶

Label that may be used to identify this request, reported back in the [OptimizeToursResponse.request_label][google.maps.routeoptimization.v1.OptimizeToursResponse.request_label].

Type: str

class SearchMode(value)[source]¶

Bases: proto.enums.Enum

Mode defining the behavior of the search, trading off latency versus solution quality. In all modes, the global request deadline is enforced.

Values:

SEARCH_MODE_UNSPECIFIED (0):: Unspecified search mode, equivalent to RETURN_FAST.
RETURN_FAST (1):: Stop the search after finding the first good solution.
CONSUME_ALL_AVAILABLE_TIME (2):: Spend all the available time to search for better solutions.

class SolvingMode(value)[source]¶

Bases: proto.enums.Enum

Defines how the solver should handle the request. In all modes but VALIDATE_ONLY, if the request is invalid, you will receive an INVALID_REQUEST error. See [max_validation_errors][google.maps.routeoptimization.v1.OptimizeToursRequest.max_validation_errors] to cap the number of errors returned.

Values:

DEFAULT_SOLVE (0):

Solve the model. Warnings may be issued in [OptimizeToursResponse.validation_errors][google.cloud.optimization.v1.OptimizeToursResponse.validation_errors].

VALIDATE_ONLY (1):

Only validates the model without solving it: populates as many [OptimizeToursResponse.validation_errors][google.maps.routeoptimization.v1.OptimizeToursResponse.validation_errors] as possible.

DETECT_SOME_INFEASIBLE_SHIPMENTS (2):

Only populates [OptimizeToursResponse.validation_errors][google.maps.routeoptimization.v1.OptimizeToursResponse.validation_errors] or [OptimizeToursResponse.skipped_shipments][google.maps.routeoptimization.v1.OptimizeToursResponse.skipped_shipments], and doesn’t actually solve the rest of the request (status and routes are unset in the response). If infeasibilities in injected_solution_constraint routes are detected they are populated in the [OptimizeToursResponse.validation_errors][google.maps.routeoptimization.v1.OptimizeToursResponse.validation_errors] field and [OptimizeToursResponse.skipped_shipments][google.maps.routeoptimization.v1.OptimizeToursResponse.skipped_shipments] is left empty.

IMPORTANT: not all infeasible shipments are returned here, but only the ones that are detected as infeasible during preprocessing.

TRANSFORM_AND_RETURN_REQUEST (3):

This mode only works if ShipmentModel.objectives is not empty. The request is not solved. It is only validated and filled with costs corresponding to the given objectives. Also see the documentation of ShipmentModel.objectives. The resulting request is returned as OptimizeToursResponse.processed_request.

Experimental: See https://developers.google.com/maps/tt/route-optimization/experimental/objectives/make-request for more details.

class google.maps.routeoptimization_v1.types.OptimizeToursResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Response after solving a tour optimization problem containing the routes followed by each vehicle, the shipments which have been skipped and the overall cost of the solution.

routes¶

Routes computed for each vehicle; the i-th route corresponds to the i-th vehicle in the model.

Type: MutableSequence[google.maps.routeoptimization_v1.types.ShipmentRoute]

request_label¶

Copy of the [OptimizeToursRequest.label][google.maps.routeoptimization.v1.OptimizeToursRequest.label], if a label was specified in the request.

Type: str

skipped_shipments¶

The list of all shipments skipped.

Type: MutableSequence[google.maps.routeoptimization_v1.types.SkippedShipment]

validation_errors¶

List of all the validation errors that we were able to detect independently. See the “MULTIPLE ERRORS” explanation for the [OptimizeToursValidationError][google.maps.routeoptimization.v1.OptimizeToursValidationError] message. Instead of errors, this will include warnings in the case solving_mode is DEFAULT_SOLVE.

Type: MutableSequence[google.maps.routeoptimization_v1.types.OptimizeToursValidationError]

processed_request¶

In some cases we modify the incoming request before solving it, i.e. adding costs. If solving_mode == TRANSFORM_AND_RETURN_REQUEST, the modified request is returned here.

Experimental: See https://developers.google.com/maps/tt/route-optimization/experimental/objectives/make-request for more details.

Type: google.maps.routeoptimization_v1.types.OptimizeToursRequest

metrics¶

Duration, distance and usage metrics for this solution.

Type: google.maps.routeoptimization_v1.types.OptimizeToursResponse.Metrics

class Metrics(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Overall metrics, aggregated over all routes.

aggregated_route_metrics¶

Aggregated over the routes. Each metric is the sum (or max, for loads) over all [ShipmentRoute.metrics][google.maps.routeoptimization.v1.ShipmentRoute.metrics] fields of the same name.

Type: google.maps.routeoptimization_v1.types.AggregatedMetrics

skipped_mandatory_shipment_count¶

Number of mandatory shipments skipped.

Type: int

used_vehicle_count¶

Number of vehicles used. Note: if a vehicle route is empty and [Vehicle.used_if_route_is_empty][google.maps.routeoptimization.v1.Vehicle.used_if_route_is_empty] is true, the vehicle is considered used.

Type: int

earliest_vehicle_start_time¶

The earliest start time for a used vehicle, computed as the minimum over all used vehicles of [ShipmentRoute.vehicle_start_time][google.maps.routeoptimization.v1.ShipmentRoute.vehicle_start_time].

Type: google.protobuf.timestamp_pb2.Timestamp

latest_vehicle_end_time¶

The latest end time for a used vehicle, computed as the maximum over all used vehicles of [ShipmentRoute.vehicle_end_time][google.maps.routeoptimization.v1.ShipmentRoute.vehicle_end_time].

Type: google.protobuf.timestamp_pb2.Timestamp

costs¶

Cost of the solution, broken down by cost-related request fields. The keys are proto paths, relative to the input OptimizeToursRequest, e.g. “model.shipments.pickups.cost”, and the values are the total cost generated by the corresponding cost field, aggregated over the whole solution. In other words, costs[“model.shipments.pickups.cost”] is the sum of all pickup costs over the solution. All costs defined in the model are reported in detail here with the exception of costs related to TransitionAttributes that are only reported in an aggregated way as of 2022/01.

Type: MutableMapping[str, float]

total_cost¶

Total cost of the solution. The sum of all values in the costs map.

Type: float

class CostsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)¶: Bases: proto.message.Message

class google.maps.routeoptimization_v1.types.OptimizeToursUriMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Operation metadata for OptimizeToursUri calls.

class google.maps.routeoptimization_v1.types.OptimizeToursUriRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

A request used by the OptimizeToursUri method.

parent¶

Required. Target project or location to make a call.

Format:

projects/{project-id}
projects/{project-id}/locations/{location-id}

If no location is specified, a region will be chosen automatically.

Type: str

input¶

Required. The URI of the Cloud Storage object containing the OptimizeToursRequest.

Type: google.maps.routeoptimization_v1.types.Uri

output¶

Required. The URI of the Cloud Storage object that will contain the OptimizeToursResponse.

Type: google.maps.routeoptimization_v1.types.Uri

class google.maps.routeoptimization_v1.types.OptimizeToursUriResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

A response returned by the OptimizeToursUri method.

output¶

Optional. The URI of the Cloud Storage object containing the OptimizeToursResponse encoded as either JSON or textproto. If the object was encoded as JSON, the extension of the object name will be .json. If the object was encoded as textproto, the extension of the object name will be .txtpb.

The crc32_checksum of the resource can be used to verify the contents of the resource have not been modified.

Type: google.maps.routeoptimization_v1.types.Uri

class google.maps.routeoptimization_v1.types.OptimizeToursValidationError(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Describes an error or warning encountered when validating an OptimizeToursRequest.

code¶

A validation error is defined by the pair (code, display_name) which are always present.

The fields following this section provide more context about the error.

MULTIPLE ERRORS: When there are multiple errors, the validation process tries to output several of them. Much like a compiler, this is an imperfect process. Some validation errors will be “fatal”, meaning that they stop the entire validation process. This is the case for display_name="UNSPECIFIED" errors, among others. Some errors may cause the validation process to skip other errors.

STABILITY: code and display_name should be very stable. But new codes and display names may appear over time, which may cause a given (invalid) request to yield a different (code, display_name) pair because the new error hid the old one. For example, see “MULTIPLE ERRORS”.

Type: int

display_name¶

The error display name.

Type: str

fields¶

An error context may involve 0, 1 (most of the time) or more fields. For example, referring to vehicle #4 and shipment #2’s first pickup can be done as follows:

fields { name: "vehicles" index: 4}
fields { name: "shipments" index: 2 sub_field {name: "pickups" index: 0} }

Note, however, that the cardinality of fields should not change for a given error code.

Type: MutableSequence[google.maps.routeoptimization_v1.types.OptimizeToursValidationError.FieldReference]

error_message¶

Human-readable string describing the error. There is a 1:1 mapping between code and error_message (when code != “UNSPECIFIED”).

STABILITY: Not stable: the error message associated to a given code may change (hopefully to clarify it) over time. Please rely on the display_name and code instead.

Type: str

offending_values¶

May contain the value(s) of the field(s). This is not always available. You should absolutely not rely on it and use it only for manual model debugging.

Type: str

class FieldReference(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Specifies a context for the validation error. A FieldReference always refers to a given field in this file and follows the same hierarchical structure. For example, we may specify element #2 of start_time_windows of vehicle #5 using:

name: "vehicles" index: 5 sub_field { name: "end_time_windows" index: 2 }

We however omit top-level entities such as OptimizeToursRequest or ShipmentModel to avoid crowding the message.

This message has oneof fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

name¶

Name of the field, e.g., “vehicles”.

Type: str

index¶

Index of the field if repeated.

This field is a member of oneof index_or_key.

Type: int

key¶

Key if the field is a map.

This field is a member of oneof index_or_key.

Type: str

sub_field¶

Recursively nested sub-field, if needed.

Type: google.maps.routeoptimization_v1.types.OptimizeToursValidationError.FieldReference

class google.maps.routeoptimization_v1.types.OutputConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Specify a destination for [BatchOptimizeTours][google.maps.routeoptimization.v1.RouteOptimizationService.BatchOptimizeTours] results.

gcs_destination¶

The Google Cloud Storage location to write the output to.

This field is a member of oneof destination.

Type: google.maps.routeoptimization_v1.types.GcsDestination

data_format¶

Required. The output data format.

Type: google.maps.routeoptimization_v1.types.DataFormat

class google.maps.routeoptimization_v1.types.RouteModifiers(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Encapsulates a set of optional conditions to satisfy when calculating vehicle routes. This is similar to RouteModifiers in the Google Maps Platform Routes Preferred API; see: https://developers.google.com/maps/documentation/routes/reference/rest/v2/RouteModifiers.

avoid_tolls¶

Specifies whether to avoid toll roads where reasonable. Preference will be given to routes not containing toll roads. Applies only to motorized travel modes.

Type: bool

avoid_highways¶

Specifies whether to avoid highways where reasonable. Preference will be given to routes not containing highways. Applies only to motorized travel modes.

Type: bool

avoid_ferries¶

Specifies whether to avoid ferries where reasonable. Preference will be given to routes not containing travel by ferries. Applies only to motorized travel modes.

Type: bool

avoid_indoor¶

Optional. Specifies whether to avoid navigating indoors where reasonable. Preference will be given to routes not containing indoor navigation. Applies only to the WALKING travel mode.

Type: bool

class google.maps.routeoptimization_v1.types.Shipment(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The shipment of a single item, from one of its pickups to one of its deliveries. For the shipment to be considered as performed, a unique vehicle must visit one of its pickup locations (and decrease its spare capacities accordingly), then visit one of its delivery locations later on (and therefore re-increase its spare capacities accordingly).

display_name¶

The user-defined display name of the shipment. It can be up to 63 characters long and may use UTF-8 characters.

Type: str

pickups¶

Set of pickup alternatives associated to the shipment. If not specified, the vehicle only needs to visit a location corresponding to the deliveries.

Type: MutableSequence[google.maps.routeoptimization_v1.types.Shipment.VisitRequest]

deliveries¶

Set of delivery alternatives associated to the shipment. If not specified, the vehicle only needs to visit a location corresponding to the pickups.

Type: MutableSequence[google.maps.routeoptimization_v1.types.Shipment.VisitRequest]

load_demands¶

Load demands of the shipment (for example weight, volume, number of pallets etc). The keys in the map should be identifiers describing the type of the corresponding load, ideally also including the units. For example: “weight_kg”, “volume_gallons”, “pallet_count”, etc. If a given key does not appear in the map, the corresponding load is considered as null.

Type: MutableMapping[str, google.maps.routeoptimization_v1.types.Shipment.Load]

penalty_cost¶

If the shipment is not completed, this penalty is added to the overall cost of the routes. A shipment is considered completed if one of its pickup and delivery alternatives is visited. The cost may be expressed in the same unit used for all other cost-related fields in the model and must be positive.

IMPORTANT: If this penalty is not specified, it is considered infinite, i.e. the shipment must be completed.

This field is a member of oneof _penalty_cost.

Type: float

allowed_vehicle_indices¶

The set of vehicles that may perform this shipment. If empty, all vehicles may perform it. Vehicles are given by their index in the ShipmentModel’s vehicles list.

Type: MutableSequence[int]

costs_per_vehicle¶

Specifies the cost that is incurred when this shipment is delivered by each vehicle. If specified, it must have EITHER:

the same number of elements as costs_per_vehicle_indices. costs_per_vehicle[i] corresponds to vehicle costs_per_vehicle_indices[i] of the model.
the same number of elements as there are vehicles in the model. The i-th element corresponds to vehicle #i of the model.

These costs must be in the same unit as penalty_cost and must not be negative. Leave this field empty, if there are no such costs.

Type: MutableSequence[float]

costs_per_vehicle_indices¶

Indices of the vehicles to which costs_per_vehicle applies. If non-empty, it must have the same number of elements as costs_per_vehicle. A vehicle index may not be specified more than once. If a vehicle is excluded from costs_per_vehicle_indices, its cost is zero.

Type: MutableSequence[int]

pickup_to_delivery_relative_detour_limit¶

Specifies the maximum relative detour time compared to the shortest path from pickup to delivery. If specified, it must be nonnegative, and the shipment must contain at least a pickup and a delivery.

For example, let t be the shortest time taken to go from the selected pickup alternative directly to the selected delivery alternative. Then setting pickup_to_delivery_relative_detour_limit enforces:

start_time(delivery) - start_time(pickup) <=
std::ceil(t * (1.0 + pickup_to_delivery_relative_detour_limit))

If both relative and absolute limits are specified on the same shipment, the more constraining limit is used for each possible pickup/delivery pair. As of 2017/10, detours are only supported when travel durations do not depend on vehicles.

This field is a member of oneof _pickup_to_delivery_relative_detour_limit.

Type: float

pickup_to_delivery_absolute_detour_limit¶

Specifies the maximum absolute detour time compared to the shortest path from pickup to delivery. If specified, it must be nonnegative, and the shipment must contain at least a pickup and a delivery.

For example, let t be the shortest time taken to go from the selected pickup alternative directly to the selected delivery alternative. Then setting pickup_to_delivery_absolute_detour_limit enforces:

start_time(delivery) - start_time(pickup) <=
t + pickup_to_delivery_absolute_detour_limit

If both relative and absolute limits are specified on the same shipment, the more constraining limit is used for each possible pickup/delivery pair. As of 2017/10, detours are only supported when travel durations do not depend on vehicles.

Type: google.protobuf.duration_pb2.Duration

pickup_to_delivery_time_limit¶

Specifies the maximum duration from start of pickup to start of delivery of a shipment. If specified, it must be nonnegative, and the shipment must contain at least a pickup and a delivery. This does not depend on which alternatives are selected for pickup and delivery, nor on vehicle speed. This can be specified alongside maximum detour constraints: the solution will respect both specifications.

Type: google.protobuf.duration_pb2.Duration

shipment_type¶

Non-empty string specifying a “type” for this shipment. This feature can be used to define incompatibilities or requirements between shipment_types (see shipment_type_incompatibilities and shipment_type_requirements in ShipmentModel).

Differs from visit_types which is specified for a single visit: All pickup/deliveries belonging to the same shipment share the same shipment_type.

Type: str

label¶

Specifies a label for this shipment. This label is reported in the response in the shipment_label of the corresponding [ShipmentRoute.Visit][google.maps.routeoptimization.v1.ShipmentRoute.Visit].

Type: str

ignore¶

If true, skip this shipment, but don’t apply a penalty_cost.

Ignoring a shipment results in a validation error when there are any shipment_type_requirements in the model.

Ignoring a shipment that is performed in injected_first_solution_routes or injected_solution_constraint is permitted; the solver removes the related pickup/delivery visits from the performing route. precedence_rules that reference ignored shipments will also be ignored.

Type: bool

class Load(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

When performing a visit, a predefined amount may be added to the vehicle load if it’s a pickup, or subtracted if it’s a delivery. This message defines such amount. See [load_demands][google.maps.routeoptimization.v1.Shipment.load_demands].

amount¶

The amount by which the load of the vehicle performing the corresponding visit will vary. Since it is an integer, users are advised to choose an appropriate unit to avoid loss of precision. Must be ≥ 0.

Type: int

class LoadDemandsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)¶: Bases: proto.message.Message

class VisitRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Request for a visit which can be done by a vehicle: it has a geo-location (or two, see below), opening and closing times represented by time windows, and a service duration time (time spent by the vehicle once it has arrived to pickup or drop off goods).

arrival_location¶

The geo-location where the vehicle arrives when performing this VisitRequest. If the shipment model has duration distance matrices, arrival_location must not be specified.

Type: google.type.latlng_pb2.LatLng

arrival_waypoint¶

The waypoint where the vehicle arrives when performing this VisitRequest. If the shipment model has duration distance matrices, arrival_waypoint must not be specified.

Type: google.maps.routeoptimization_v1.types.Waypoint

departure_location¶

The geo-location where the vehicle departs after completing this VisitRequest. Can be omitted if it is the same as arrival_location. If the shipment model has duration distance matrices, departure_location must not be specified.

Type: google.type.latlng_pb2.LatLng

departure_waypoint¶

The waypoint where the vehicle departs after completing this VisitRequest. Can be omitted if it is the same as arrival_waypoint. If the shipment model has duration distance matrices, departure_waypoint must not be specified.

Type: google.maps.routeoptimization_v1.types.Waypoint

tags¶

Specifies tags attached to the visit request. Empty or duplicate strings are not allowed.

Type: MutableSequence[str]

time_windows¶

Time windows which constrain the arrival time at a visit. Note that a vehicle may depart outside of the arrival time window, i.e. arrival time + duration do not need to be inside a time window. This can result in waiting time if the vehicle arrives before [TimeWindow.start_time][google.maps.routeoptimization.v1.TimeWindow.start_time].

The absence of TimeWindow means that the vehicle can perform this visit at any time.

Time windows must be disjoint, i.e. no time window must overlap with or be adjacent to another, and they must be in increasing order.

cost_per_hour_after_soft_end_time and soft_end_time can only be set if there is a single time window.

Type: MutableSequence[google.maps.routeoptimization_v1.types.TimeWindow]

duration¶

Duration of the visit, i.e. time spent by the vehicle between arrival and departure (to be added to the possible waiting time; see time_windows).

Type: google.protobuf.duration_pb2.Duration

cost¶

Cost to service this visit request on a vehicle route. This can be used to pay different costs for each alternative pickup or delivery of a shipment. This cost must be in the same unit as Shipment.penalty_cost and must not be negative.

Type: float

load_demands¶

Load demands of this visit request. This is just like [Shipment.load_demands][google.maps.routeoptimization.v1.Shipment.load_demands] field, except that it only applies to this [VisitRequest][google.maps.routeoptimization.v1.Shipment.VisitRequest] instead of the whole [Shipment][google.maps.routeoptimization.v1.Shipment]. The demands listed here are added to the demands listed in [Shipment.load_demands][google.maps.routeoptimization.v1.Shipment.load_demands].

Type: MutableMapping[str, google.maps.routeoptimization_v1.types.Shipment.Load]

visit_types¶

Specifies the types of the visit. This may be used to allocate additional time required for a vehicle to complete this visit (see [Vehicle.extra_visit_duration_for_visit_type][google.maps.routeoptimization.v1.Vehicle.extra_visit_duration_for_visit_type]).

A type can only appear once.

Type: MutableSequence[str]

label¶

Specifies a label for this VisitRequest. This label is reported in the response as visit_label in the corresponding [ShipmentRoute.Visit][google.maps.routeoptimization.v1.ShipmentRoute.Visit].

Type: str

avoid_u_turns¶

Specifies whether U-turns should be avoided in driving routes at this location. U-turn avoidance is best effort and complete avoidance is not guaranteed. This is an experimental feature and behavior is subject to change.

Experimental: See https://developers.google.com/maps/tt/route-optimization/experimental/u-turn-avoidance/make-request for more details.

This field is a member of oneof _avoid_u_turns.

Type: bool

class LoadDemandsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)¶: Bases: proto.message.Message

class google.maps.routeoptimization_v1.types.ShipmentModel(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

A shipment model contains a set of shipments which must be performed by a set of vehicles, while minimizing the overall cost, which is the sum of:

the cost of routing the vehicles (sum of cost per total time, cost per travel time, and fixed cost over all vehicles).
the unperformed shipment penalties.
the cost of the global duration of the shipments

shipments¶

Set of shipments which must be performed in the model.

Type: MutableSequence[google.maps.routeoptimization_v1.types.Shipment]

vehicles¶

Set of vehicles which can be used to perform visits.

Type: MutableSequence[google.maps.routeoptimization_v1.types.Vehicle]

objectives¶

The set of objectives for this model, that we will transform into costs. If not empty, the input model has to be costless. To obtain the modified request, please use solving_mode = TRANSFORM_AND_RETURN_REQUEST. Note that the request will not be solved in this case. See corresponding documentation.

Experimental: See https://developers.google.com/maps/tt/route-optimization/experimental/objectives/make-request for more details.

Type: MutableSequence[google.maps.routeoptimization_v1.types.ShipmentModel.Objective]

max_active_vehicles¶

Constrains the maximum number of active vehicles. A vehicle is active if its route performs at least one shipment. This can be used to limit the number of routes in the case where there are fewer drivers than vehicles and that the fleet of vehicles is heterogeneous. The optimization will then select the best subset of vehicles to use. Must be strictly positive.

This field is a member of oneof _max_active_vehicles.

Type: int

global_start_time¶

Global start and end time of the model: no times outside of this range can be considered valid.

The model’s time span must be less than a year, i.e. the global_end_time and the global_start_time must be within 31536000 seconds of each other.

When using cost_per_*hour fields, you might want to set this window to a smaller interval to increase performance (eg. if you model a single day, you should set the global time limits to that day). If unset, 00:00:00 UTC, January 1, 1970 (i.e. seconds: 0, nanos: 0) is used as default.

Type: google.protobuf.timestamp_pb2.Timestamp

global_end_time¶

If unset, 00:00:00 UTC, January 1, 1971 (i.e. seconds: 31536000, nanos: 0) is used as default.

Type: google.protobuf.timestamp_pb2.Timestamp

global_duration_cost_per_hour¶

The “global duration” of the overall plan is the difference between the earliest effective start time and the latest effective end time of all vehicles. Users can assign a cost per hour to that quantity to try and optimize for earliest job completion, for example. This cost must be in the same unit as [Shipment.penalty_cost][google.maps.routeoptimization.v1.Shipment.penalty_cost].

Type: float

duration_distance_matrices¶

Specifies duration and distance matrices used in the model. If this field is empty, Google Maps or geodesic distances will be used instead, depending on the value of the use_geodesic_distances field. If it is not empty, use_geodesic_distances cannot be true and neither duration_distance_matrix_src_tags nor duration_distance_matrix_dst_tags can be empty.

Usage examples:

There are two locations: locA and locB.
1 vehicle starting its route at locA and ending it at locA.
1 pickup visit request at locB.

model {
  vehicles { start_tags: "locA"  end_tags: "locA" }
  shipments { pickups { tags: "locB" } }
  duration_distance_matrix_src_tags: "locA"
  duration_distance_matrix_src_tags: "locB"
  duration_distance_matrix_dst_tags: "locA"
  duration_distance_matrix_dst_tags: "locB"
  duration_distance_matrices {
    rows {  # from: locA
      durations { seconds: 0 }   meters: 0    # to: locA
      durations { seconds: 100 } meters: 1000 # to: locB
    }
    rows {  # from: locB
      durations { seconds: 102 } meters: 990 # to: locA
      durations { seconds: 0 }   meters: 0   # to: locB
    }
  }
}

There are three locations: locA, locB and locC.
1 vehicle starting its route at locA and ending it at locB, using matrix “fast”.
1 vehicle starting its route at locB and ending it at locB, using matrix “slow”.
1 vehicle starting its route at locB and ending it at locB, using matrix “fast”.
1 pickup visit request at locC.

model {
  vehicles { start_tags: "locA" end_tags: "locB" start_tags: "fast" }
  vehicles { start_tags: "locB" end_tags: "locB" start_tags: "slow" }
  vehicles { start_tags: "locB" end_tags: "locB" start_tags: "fast" }
  shipments { pickups { tags: "locC" } }
  duration_distance_matrix_src_tags: "locA"
  duration_distance_matrix_src_tags: "locB"
  duration_distance_matrix_src_tags: "locC"
  duration_distance_matrix_dst_tags: "locB"
  duration_distance_matrix_dst_tags: "locC"
  duration_distance_matrices {
    vehicle_start_tag: "fast"
    rows {  # from: locA
      durations { seconds: 1000 } meters: 2000 # to: locB
      durations { seconds: 600 }  meters: 1000 # to: locC
    }
    rows {  # from: locB
      durations { seconds: 0 }   meters: 0    # to: locB
      durations { seconds: 700 } meters: 1200 # to: locC
    }
    rows {  # from: locC
      durations { seconds: 702 } meters: 1190 # to: locB
      durations { seconds: 0 }   meters: 0    # to: locC
    }
  }
  duration_distance_matrices {
    vehicle_start_tag: "slow"
    rows {  # from: locA
      durations { seconds: 1800 } meters: 2001 # to: locB
      durations { seconds: 900 }  meters: 1002 # to: locC
    }
    rows {  # from: locB
      durations { seconds: 0 }    meters: 0    # to: locB
      durations { seconds: 1000 } meters: 1202 # to: locC
    }
    rows {  # from: locC
      durations { seconds: 1001 } meters: 1195 # to: locB
      durations { seconds: 0 }    meters: 0    # to: locC
    }
  }
}

Type: MutableSequence[google.maps.routeoptimization_v1.types.ShipmentModel.DurationDistanceMatrix]

duration_distance_matrix_src_tags¶

Tags defining the sources of the duration and distance matrices; duration_distance_matrices(i).rows(j) defines durations and distances from visits with tag duration_distance_matrix_src_tags(j) to other visits in matrix i.

Tags correspond to [VisitRequest.tags][google.maps.routeoptimization.v1.Shipment.VisitRequest.tags] or [Vehicle.start_tags][google.maps.routeoptimization.v1.Vehicle.start_tags]. A given VisitRequest or Vehicle must match exactly one tag in this field. Note that a Vehicle’s source, destination and matrix tags may be the same; similarly a VisitRequest’s source and destination tags may be the same. All tags must be different and cannot be empty strings. If this field is not empty, then duration_distance_matrices must not be empty.

Type: MutableSequence[str]

duration_distance_matrix_dst_tags¶

Tags defining the destinations of the duration and distance matrices; duration_distance_matrices(i).rows(j).durations(k) (resp. duration_distance_matrices(i).rows(j).meters(k)) defines the duration (resp. the distance) of the travel from visits with tag duration_distance_matrix_src_tags(j) to visits with tag duration_distance_matrix_dst_tags(k) in matrix i.

Tags correspond to [VisitRequest.tags][google.maps.routeoptimization.v1.Shipment.VisitRequest.tags] or [Vehicle.start_tags][google.maps.routeoptimization.v1.Vehicle.start_tags]. A given VisitRequest or Vehicle must match exactly one tag in this field. Note that a Vehicle’s source, destination and matrix tags may be the same; similarly a VisitRequest’s source and destination tags may be the same. All tags must be different and cannot be empty strings. If this field is not empty, then duration_distance_matrices must not be empty.

Type: MutableSequence[str]

transition_attributes¶

Transition attributes added to the model.

Type: MutableSequence[google.maps.routeoptimization_v1.types.TransitionAttributes]

shipment_type_incompatibilities¶

Sets of incompatible shipment_types (see ShipmentTypeIncompatibility).

Type: MutableSequence[google.maps.routeoptimization_v1.types.ShipmentTypeIncompatibility]

shipment_type_requirements¶

Sets of shipment_type requirements (see ShipmentTypeRequirement).

Type: MutableSequence[google.maps.routeoptimization_v1.types.ShipmentTypeRequirement]

precedence_rules¶

Set of precedence rules which must be enforced in the model.

IMPORTANT: Use of precedence rules limits the size of problem that can be optimized. Requests using precedence rules that include many shipments may be rejected.

Type: MutableSequence[google.maps.routeoptimization_v1.types.ShipmentModel.PrecedenceRule]

class DurationDistanceMatrix(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Specifies a duration and distance matrix from visit and vehicle start locations to visit and vehicle end locations.

rows¶

Specifies the rows of the duration and distance matrix. It must have as many elements as [ShipmentModel.duration_distance_matrix_src_tags][google.maps.routeoptimization.v1.ShipmentModel.duration_distance_matrix_src_tags].

Type: MutableSequence[google.maps.routeoptimization_v1.types.ShipmentModel.DurationDistanceMatrix.Row]

vehicle_start_tag¶

Tag defining to which vehicles this duration and distance matrix applies. If empty, this applies to all vehicles, and there can only be a single matrix.

Each vehicle start must match exactly one matrix, i.e. exactly one of their start_tags field must match the vehicle_start_tag of a matrix (and of that matrix only).

All matrices must have a different vehicle_start_tag.

Type: str

class Row(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Specifies a row of the duration and distance matrix.

durations¶

Duration values for a given row. It must have as many elements as [ShipmentModel.duration_distance_matrix_dst_tags][google.maps.routeoptimization.v1.ShipmentModel.duration_distance_matrix_dst_tags].

Type: MutableSequence[google.protobuf.duration_pb2.Duration]

meters¶

Distance values for a given row. If no costs or constraints refer to distances in the model, this can be left empty; otherwise it must have as many elements as durations.

Type: MutableSequence[float]

class Objective(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Objectives replace the cost model completely, and are therefore incompatible with pre-existing costs. Each objective maps to a number of pre-defined costs for, e.g., vehicles, shipments or transition attributes.

Experimental: See https://developers.google.com/maps/tt/route-optimization/experimental/objectives/make-request for more details.

type_¶

The type of the objective.

This field is a member of oneof _type.

Type: google.maps.routeoptimization_v1.types.ShipmentModel.Objective.Type

weight¶

How much this objective should count relatively to the others. This can be any non-negative number, weights do not have to sum to 1. Weights default to 1.0.

This field is a member of oneof _weight.

Type: float

class Type(value)[source]¶

Bases: proto.enums.Enum

The objective type that will be mapped to a set of costs.

Values:

DEFAULT (0):: A default set of costs will be used, to ensure a reasonable solution. Note: this objective can be used on its own, but will also always be added with weight 1.0, as a baseline, to the objectives specified by the user, if it’s not already present.
MIN_DISTANCE (10):: “MIN” objectives. Minimize the total distance traveled.
MIN_WORKING_TIME (11):: Minimize the total working time, summed over all vehicles.
MIN_TRAVEL_TIME (12):: Same as above but focusing on travel time only.
MIN_NUM_VEHICLES (13):: Minimize the number of vehicles used.

class PrecedenceRule(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

A precedence rule between two events (each event is the pickup or the delivery of a shipment): the “second” event has to start at least offset_duration after “first” has started.

Several precedences can refer to the same (or related) events, e.g., “pickup of B happens after delivery of A” and “pickup of C happens after pickup of B”.

Furthermore, precedences only apply when both shipments are performed and are otherwise ignored.

first_index¶

Shipment index of the “first” event. This field must be specified.

This field is a member of oneof _first_index.

Type: int

first_is_delivery¶

Indicates if the “first” event is a delivery.

Type: bool

second_index¶

Shipment index of the “second” event. This field must be specified.

This field is a member of oneof _second_index.

Type: int

second_is_delivery¶

Indicates if the “second” event is a delivery.

Type: bool

offset_duration¶

The offset between the “first” and “second” event. It can be negative.

Type: google.protobuf.duration_pb2.Duration

class google.maps.routeoptimization_v1.types.ShipmentRoute(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

A vehicle’s route can be decomposed, along the time axis, like this (we assume there are n visits):

  |            |            |          |       |  T[2], |        |      |
  | Transition |  Visit #0  |          |       |  V[2], |        |      |
  |     #0     |    aka     |   T[1]   |  V[1] |  ...   | V[n-1] | T[n] |
  |  aka T[0]  |    V[0]    |          |       | V[n-2],|        |      |
  |            |            |          |       | T[n-1] |        |      |
  ^            ^            ^          ^       ^        ^        ^      ^
vehicle    V[0].start   V[0].end     V[1].   V[1].    V[n].    V[n]. vehicle
 start     (arrival)   (departure)   start   end      start    end     end

Note that we make a difference between:

“punctual events”, such as the vehicle start and end and each visit’s start and end (aka arrival and departure). They happen at a given second.
“time intervals”, such as the visits themselves, and the transition between visits. Though time intervals can sometimes have zero duration, i.e. start and end at the same second, they often have a positive duration.

Invariants:

If there are n visits, there are n+1 transitions.
A visit is always surrounded by a transition before it (same index) and a transition after it (index + 1).
The vehicle start is always followed by transition #0.
The vehicle end is always preceded by transition #n.

Zooming in, here is what happens during a Transition and a Visit:

---+-------------------------------------+-----------------------------+-->
   |           TRANSITION[i]             |           VISIT[i]          |
   |                                     |                             |
   |  * TRAVEL: the vehicle moves from   |      PERFORM the visit:     |
   |    VISIT[i-1].departure_location to |                             |
   |    VISIT[i].arrival_location, which |  * Spend some time:         |
   |    takes a given travel duration    |    the "visit duration".    |
   |    and distance                     |                             |
   |                                     |  * Load or unload           |
   |  * BREAKS: the driver may have      |    some quantities from the |
   |    breaks (e.g. lunch break).       |    vehicle: the "demand".   |
   |                                     |                             |
   |  * WAIT: the driver/vehicle does    |                             |
   |    nothing. This can happen for     |                             |
   |    many reasons, for example when   |                             |
   |    the vehicle reaches the next     |                             |
   |    event's destination before the   |                             |
   |    start of its time window         |                             |
   |                                     |                             |
   |  * DELAY: *right before* the next   |                             |
   |    arrival. E.g. the vehicle and/or |                             |
   |    driver spends time unloading.    |                             |
   |                                     |                             |
---+-------------------------------------+-----------------------------+-->
   ^                                     ^                             ^
V[i-1].end                           V[i].start                    V[i].end

Lastly, here is how the TRAVEL, BREAKS, DELAY and WAIT can be arranged during a transition.

They don’t overlap.
The DELAY is unique and must be a contiguous period of time right before the next visit (or vehicle end). Thus, it suffice to know the delay duration to know its start and end time.
The BREAKS are contiguous, non-overlapping periods of time. The response specifies the start time and duration of each break.
TRAVEL and WAIT are “preemptable”: they can be interrupted several times during this transition. Clients can assume that travel happens “as soon as possible” and that “wait” fills the remaining time.

A (complex) example:

                               TRANSITION[i]
--++-----+-----------------------------------------------------------++-->
  ||     |       |           |       |           |         |         ||
  ||  T  |   B   |     T     |       |     B     |         |    D    ||
  ||  r  |   r   |     r     |   W   |     r     |    W    |    e    ||
  ||  a  |   e   |     a     |   a   |     e     |    a    |    l    ||
  ||  v  |   a   |     v     |   i   |     a     |    i    |    a    ||
  ||  e  |   k   |     e     |   t   |     k     |    t    |    y    ||
  ||  l  |       |     l     |       |           |         |         ||
  ||     |       |           |       |           |         |         ||
--++-----------------------------------------------------------------++-->

vehicle_index¶

Vehicle performing the route, identified by its index in the source ShipmentModel.

Type: int

vehicle_label¶

Label of the vehicle performing this route, equal to ShipmentModel.vehicles(vehicle_index).label, if specified.

Type: str

vehicle_start_time¶

Time at which the vehicle starts its route.

Type: google.protobuf.timestamp_pb2.Timestamp

vehicle_end_time¶

Time at which the vehicle finishes its route.

Type: google.protobuf.timestamp_pb2.Timestamp

visits¶

Ordered sequence of visits representing a route. visits[i] is the i-th visit in the route. If this field is empty, the vehicle is considered as unused.

Type: MutableSequence[google.maps.routeoptimization_v1.types.ShipmentRoute.Visit]

transitions¶

Ordered list of transitions for the route.

Type: MutableSequence[google.maps.routeoptimization_v1.types.ShipmentRoute.Transition]

has_traffic_infeasibilities¶

When [OptimizeToursRequest.consider_road_traffic][google.maps.routeoptimization.v1.OptimizeToursRequest.consider_road_traffic], is set to true, this field indicates that inconsistencies in route timings are predicted using traffic-based travel duration estimates. There may be insufficient time to complete traffic-adjusted travel, delays, and breaks between visits, before the first visit, or after the last visit, while still satisfying the visit and vehicle time windows. For example,

start_time(previous_visit) + duration(previous_visit) +
travel_duration(previous_visit, next_visit) > start_time(next_visit)

Arrival at next_visit will likely happen later than its current time window due the increased estimate of travel time travel_duration(previous_visit, next_visit) due to traffic. Also, a break may be forced to overlap with a visit due to an increase in travel time estimates and visit or break time window restrictions.

Type: bool

route_polyline¶

The encoded polyline representation of the route. This field is only populated if [OptimizeToursRequest.populate_polylines][google.maps.routeoptimization.v1.OptimizeToursRequest.populate_polylines] is set to true.

Type: google.maps.routeoptimization_v1.types.ShipmentRoute.EncodedPolyline

breaks¶

Breaks scheduled for the vehicle performing this route. The breaks sequence represents time intervals, each starting at the corresponding start_time and lasting duration seconds.

Type: MutableSequence[google.maps.routeoptimization_v1.types.ShipmentRoute.Break]

metrics¶

Duration, distance and load metrics for this route. The fields of [AggregatedMetrics][google.maps.routeoptimization.v1.AggregatedMetrics] are summed over all [ShipmentRoute.transitions][google.maps.routeoptimization.v1.ShipmentRoute.transitions] or [ShipmentRoute.visits][google.maps.routeoptimization.v1.ShipmentRoute.visits], depending on the context.

Type: google.maps.routeoptimization_v1.types.AggregatedMetrics

vehicle_fullness¶

[VehicleFullness][google.maps.routeoptimization.v1.VehicleFullness] field for computing how close the capped metrics are to their respective vehicle limits. Its fields are ratios between a capped metric field (e.g. [AggregatedMetrics.travel_distance_meters][google.maps.routeoptimization.v1.AggregatedMetrics.travel_distance_meters]) and the related vehicle limit (e.g. [Vehicle.route_distance_limit][google.maps.routeoptimization.v1.Vehicle.route_distance_limit]).

Experimental: This field’s behavior or existence may change in future.

Type: google.maps.routeoptimization_v1.types.VehicleFullness

route_costs¶

Cost of the route, broken down by cost-related request fields. The keys are proto paths, relative to the input OptimizeToursRequest, e.g. “model.shipments.pickups.cost”, and the values are the total cost generated by the corresponding cost field, aggregated over the whole route. In other words, costs[“model.shipments.pickups.cost”] is the sum of all pickup costs over the route. All costs defined in the model are reported in detail here with the exception of costs related to TransitionAttributes that are only reported in an aggregated way as of 2022/01.

Type: MutableMapping[str, float]

route_total_cost¶

Total cost of the route. The sum of all costs in the cost map.

Type: float

class Break(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Data representing the execution of a break.

start_time¶

Start time of a break.

Type: google.protobuf.timestamp_pb2.Timestamp

duration¶

Duration of a break.

Type: google.protobuf.duration_pb2.Duration

class EncodedPolyline(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The encoded representation of a polyline. More information on polyline encoding can be found here:

https://developers.google.com/maps/documentation/utilities/polylinealgorithm https://developers.google.com/maps/documentation/javascript/reference/geometry#encoding.

points¶

String representing encoded points of the polyline.

Type: str

class RouteCostsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)¶: Bases: proto.message.Message

class Transition(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Transition between two events on the route. See the description of [ShipmentRoute][google.maps.routeoptimization.v1.ShipmentRoute].

If the vehicle does not have a start_location and/or end_location, the corresponding travel metrics are 0.

travel_duration¶

Travel duration during this transition.

Type: google.protobuf.duration_pb2.Duration

travel_distance_meters¶

Distance traveled during the transition.

Type: float

traffic_info_unavailable¶

When traffic is requested via [OptimizeToursRequest.consider_road_traffic] [google.maps.routeoptimization.v1.OptimizeToursRequest.consider_road_traffic], and the traffic info couldn’t be retrieved for a Transition, this boolean is set to true. This may be temporary (rare hiccup in the realtime traffic servers) or permanent (no data for this location).

Type: bool

delay_duration¶

Sum of the delay durations applied to this transition. If any, the delay starts exactly delay_duration seconds before the next event (visit or vehicle end). See [TransitionAttributes.delay][google.maps.routeoptimization.v1.TransitionAttributes.delay].

Type: google.protobuf.duration_pb2.Duration

break_duration¶

Sum of the duration of the breaks occurring during this transition, if any. Details about each break’s start time and duration are stored in [ShipmentRoute.breaks][google.maps.routeoptimization.v1.ShipmentRoute.breaks].

Type: google.protobuf.duration_pb2.Duration

wait_duration¶

Time spent waiting during this transition. Wait duration corresponds to idle time and does not include break time. Also note that this wait time may be split into several non-contiguous intervals.

Type: google.protobuf.duration_pb2.Duration

total_duration¶

Total duration of the transition, provided for convenience. It is equal to:

next visit start_time (or vehicle_end_time if this is the last transition) - this transition’s start_time;
if ShipmentRoute.has_traffic_infeasibilities is false, the following additionally holds: `total_duration = travel_duration + delay_duration
break_duration + wait_duration`.

Type: google.protobuf.duration_pb2.Duration

start_time¶

Start time of this transition.

Type: google.protobuf.timestamp_pb2.Timestamp

route_polyline¶

The encoded polyline representation of the route followed during the transition. This field is only populated if [populate_transition_polylines] [google.maps.routeoptimization.v1.OptimizeToursRequest.populate_transition_polylines] is set to true.

Type: google.maps.routeoptimization_v1.types.ShipmentRoute.EncodedPolyline

route_token¶

Output only. An opaque token that can be passed to Navigation SDK to reconstruct the route during navigation, and, in the event of rerouting, honor the original intention when the route was created. Treat this token as an opaque blob. Don’t compare its value across requests as its value may change even if the service returns the exact same route. This field is only populated if [populate_transition_polylines] [google.maps.routeoptimization.v1.OptimizeToursRequest.populate_transition_polylines] is set to true.

Type: str

vehicle_loads¶

Vehicle loads during this transition, for each type that either appears in this vehicle’s [Vehicle.load_limits][google.maps.routeoptimization.v1.Vehicle.load_limits], or that have non-zero [Shipment.load_demands][google.maps.routeoptimization.v1.Shipment.load_demands] on some shipment performed on this route.

The loads during the first transition are the starting loads of the vehicle route. Then, after each visit, the visit’s load_demands are either added or subtracted to get the next transition’s loads, depending on whether the visit was a pickup or a delivery.

Type: MutableMapping[str, google.maps.routeoptimization_v1.types.ShipmentRoute.VehicleLoad]

class VehicleLoadsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)¶: Bases: proto.message.Message

class VehicleLoad(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Reports the actual load of the vehicle at some point along the route, for a given type (see [Transition.vehicle_loads][google.maps.routeoptimization.v1.ShipmentRoute.Transition.vehicle_loads]).

amount¶

The amount of load on the vehicle, for the given type. The unit of load is usually indicated by the type. See [Transition.vehicle_loads][google.maps.routeoptimization.v1.ShipmentRoute.Transition.vehicle_loads].

Type: int

class Visit(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

A visit performed during a route. This visit corresponds to a pickup or a delivery of a Shipment.

shipment_index¶

Index of the shipments field in the source [ShipmentModel][google.maps.routeoptimization.v1.ShipmentModel].

Type: int

is_pickup¶

If true the visit corresponds to a pickup of a Shipment. Otherwise, it corresponds to a delivery.

Type: bool

visit_request_index¶

Index of VisitRequest in either the pickup or delivery field of the Shipment (see is_pickup).

Type: int

start_time¶

Time at which the visit starts. Note that the vehicle may arrive earlier than this at the visit location. Times are consistent with the ShipmentModel.

Type: google.protobuf.timestamp_pb2.Timestamp

load_demands¶

Total visit load demand as the sum of the shipment and the visit request load_demands. The values are negative if the visit is a delivery. Demands are reported for the same types as the [Transition.loads][google.maps.routeoptimization.v1.ShipmentRoute.Transition] (see this field).

Type: MutableMapping[str, google.maps.routeoptimization_v1.types.Shipment.Load]

detour¶

Extra detour time due to the shipments visited on the route before the visit and to the potential waiting time induced by time windows. If the visit is a delivery, the detour is computed from the corresponding pickup visit and is equal to:

start_time(delivery) - start_time(pickup)
- (duration(pickup) + travel duration from the pickup location
to the delivery location).

Otherwise, it is computed from the vehicle start_location and is equal to:

start_time - vehicle_start_time - travel duration from
the vehicle's `start_location` to the visit.

Type: google.protobuf.duration_pb2.Duration

shipment_label¶

Copy of the corresponding Shipment.label, if specified in the Shipment.

Type: str

visit_label¶

Copy of the corresponding [VisitRequest.label][google.maps.routeoptimization.v1.Shipment.VisitRequest.label], if specified in the VisitRequest.

Type: str

injected_solution_location_token¶

An opaque token representing information about a visit location.

This field may be populated in the result routes’ visits when [VisitRequest.avoid_u_turns][google.maps.routeoptimization.v1.Shipment.VisitRequest.avoid_u_turns] was set to true for this visit or if [ShipmentModel.avoid_u_turns][google.maps.routeoptimization.v1.ShipmentModel.avoid_u_turns] was set to true in the request [OptimizeToursRequest][google.maps.routeoptimization.v1.OptimizeToursRequest].

Experimental: See https://developers.google.com/maps/tt/route-optimization/experimental/u-turn-avoidance/make-request for more details.

This field is a member of oneof _injected_solution_location_token.

Type: int

class LoadDemandsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)¶: Bases: proto.message.Message

class google.maps.routeoptimization_v1.types.ShipmentTypeIncompatibility(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Specifies incompatibilties between shipments depending on their shipment_type. The appearance of incompatible shipments on the same route is restricted based on the incompatibility mode.

types¶

List of incompatible types. Two shipments having different shipment_types among those listed are “incompatible”.

Type: MutableSequence[str]

incompatibility_mode¶

Mode applied to the incompatibility.

Type: google.maps.routeoptimization_v1.types.ShipmentTypeIncompatibility.IncompatibilityMode

class IncompatibilityMode(value)[source]¶

Bases: proto.enums.Enum

Modes defining how the appearance of incompatible shipments are restricted on the same route.

Values:

INCOMPATIBILITY_MODE_UNSPECIFIED (0):

Unspecified incompatibility mode. This value should never be used.

NOT_PERFORMED_BY_SAME_VEHICLE (1):

In this mode, two shipments with incompatible types can never share the same vehicle.

NOT_IN_SAME_VEHICLE_SIMULTANEOUSLY (2):

In this mode, two shipments with incompatible types can never be on the same vehicle at the same time:

They can share the same vehicle only if one is delivered before the other is picked up.
When both shipments are pickups-only (no deliveries) or deliveries-only (no pickups), they can’t share the same vehicle at all.

class google.maps.routeoptimization_v1.types.ShipmentTypeRequirement(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Specifies requirements between shipments based on their shipment_type. The specifics of the requirement are defined by the requirement mode.

required_shipment_type_alternatives¶

List of alternative shipment types required by the dependent_shipment_types.

Type: MutableSequence[str]

dependent_shipment_types¶

All shipments with a type in the dependent_shipment_types field require at least one shipment of type required_shipment_type_alternatives to be visited on the same route.

NOTE: Chains of requirements such that a shipment_type depends on itself are not allowed.

Type: MutableSequence[str]

requirement_mode¶

Mode applied to the requirement.

Type: google.maps.routeoptimization_v1.types.ShipmentTypeRequirement.RequirementMode

class RequirementMode(value)[source]¶

Bases: proto.enums.Enum

Modes defining the appearance of dependent shipments on a route.

Values:

REQUIREMENT_MODE_UNSPECIFIED (0):

Unspecified requirement mode. This value should never be used.

PERFORMED_BY_SAME_VEHICLE (1):

In this mode, all “dependent” shipments must share the same vehicle as at least one of their “required” shipments.

IN_SAME_VEHICLE_AT_PICKUP_TIME (2):

With the IN_SAME_VEHICLE_AT_PICKUP_TIME mode, all “dependent” shipments need to have at least one “required” shipment on their vehicle at the time of their pickup.

A “dependent” shipment pickup must therefore have either:

A delivery-only “required” shipment delivered on the route after, or
A “required” shipment picked up on the route before it, and if the “required” shipment has a delivery, this delivery must be performed after the “dependent” shipment’s pickup.

IN_SAME_VEHICLE_AT_DELIVERY_TIME (3):

Same as before, except the “dependent” shipments need to have a “required” shipment on their vehicle at the time of their delivery.

class google.maps.routeoptimization_v1.types.SkippedShipment(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Specifies details of unperformed shipments in a solution. For trivial cases and/or if we are able to identify the cause for skipping, we report the reason here.

index¶

The index corresponds to the index of the shipment in the source ShipmentModel.

Type: int

label¶

Copy of the corresponding [Shipment.label][google.maps.routeoptimization.v1.Shipment.label], if specified in the Shipment.

Type: str

penalty_cost¶

This is a copy of the [Shipment.penalty_cost][google.maps.routeoptimization.v1.Shipment.penalty_cost], included here to make it easier to see the severity of a skipped shipment.

Experimental: This field’s behavior or existence may change in future.

This field is a member of oneof _penalty_cost.

Type: float

estimated_incompatible_vehicle_ratio¶

Estimated ratio of vehicles that cannot perform this shipment for at least one of the reasons below. Note: this is only filled when reasons involve a vehicle.

Experimental: This field’s behavior or existence may change in future.

This field is a member of oneof _estimated_incompatible_vehicle_ratio.

Type: float

reasons¶

A list of reasons that explain why the shipment was skipped. See comment above Reason. If we are unable to understand why a shipment was skipped, reasons will not be set.

Type: MutableSequence[google.maps.routeoptimization_v1.types.SkippedShipment.Reason]

class Reason(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

If we can explain why the shipment was skipped, reasons will be listed here. If the reason is not the same for all vehicles, reason will have more than 1 element. A skipped shipment cannot have duplicate reasons, i.e. where all fields are the same except for example_vehicle_index. Example:

reasons {
  code: DEMAND_EXCEEDS_VEHICLE_CAPACITY
  example_vehicle_index: 1
  example_exceeded_capacity_type: "Apples"
}
reasons {
  code: DEMAND_EXCEEDS_VEHICLE_CAPACITY
  example_vehicle_index: 3
  example_exceeded_capacity_type: "Pears"
}
reasons {
  code: CANNOT_BE_PERFORMED_WITHIN_VEHICLE_DISTANCE_LIMIT
  example_vehicle_index: 1
}

The skipped shipment is incompatible with all vehicles. The reasons may be different for all vehicles but at least one vehicle’s “Apples” capacity would be exceeded (including vehicle 1), at least one vehicle’s “Pears” capacity would be exceeded (including vehicle 3) and at least one vehicle’s distance limit would be exceeded (including vehicle 1).

code¶

Refer to the comments of Code.

Type: google.maps.routeoptimization_v1.types.SkippedShipment.Reason.Code

example_vehicle_index¶

If the reason is related to a shipment-vehicle incompatibility, this field provides the index of one relevant vehicle.

This field is a member of oneof _example_vehicle_index.

Type: int

example_vehicle_indices¶

Same as [example_vehicle_index][google.maps.routeoptimization.v1.SkippedShipment.Reason.example_vehicle_index] except that we provide the list of multiple identified vehicles. This list is not necessarily exhaustive. This is only filled if [fill_example_vehicle_indices_in_skipped_reasons][] is true.

Experimental: This field’s behavior or existence may change in future.

Type: MutableSequence[int]

example_exceeded_capacity_type¶

If the reason code is DEMAND_EXCEEDS_VEHICLE_CAPACITY, documents one capacity type that is exceeded.

Type: str

class Code(value)[source]¶

Bases: proto.enums.Enum

Code identifying the reason type. The order here is meaningless. In particular, it gives no indication of whether a given reason will appear before another in the solution, if both apply.

Values:

CODE_UNSPECIFIED (0):

This should never be used.

NO_VEHICLE (1):

There is no vehicle in the model making all shipments infeasible.

DEMAND_EXCEEDS_VEHICLE_CAPACITY (2):

The demand of the shipment exceeds a vehicle’s capacity for some capacity types, one of which is example_exceeded_capacity_type.

CANNOT_BE_PERFORMED_WITHIN_VEHICLE_DISTANCE_LIMIT (3):

The minimum distance necessary to perform this shipment, i.e. from the vehicle’s start_location to the shipment’s pickup and/or delivery locations and to the vehicle’s end location exceeds the vehicle’s route_distance_limit.

Note that for this computation we use the geodesic distances.

CANNOT_BE_PERFORMED_WITHIN_VEHICLE_DURATION_LIMIT (4):

The minimum time necessary to perform this shipment, including travel time, wait time and service time exceeds the vehicle’s route_duration_limit.

Note: travel time is computed in the best-case scenario, namely as geodesic distance x 36 m/s (roughly 130 km/hour).

CANNOT_BE_PERFORMED_WITHIN_VEHICLE_TRAVEL_DURATION_LIMIT (5):

Same as above but we only compare minimum travel time and the vehicle’s travel_duration_limit.

CANNOT_BE_PERFORMED_WITHIN_VEHICLE_TIME_WINDOWS (6):

The vehicle cannot perform this shipment in the best-case scenario (see CANNOT_BE_PERFORMED_WITHIN_VEHICLE_DURATION_LIMIT for time computation) if it starts at its earliest start time: the total time would make the vehicle end after its latest end time.

VEHICLE_NOT_ALLOWED (7):

The allowed_vehicle_indices field of the shipment is not empty and this vehicle does not belong to it.

VEHICLE_IGNORED (8):

The vehicle’s ignore field is true.

Experimental: This field’s behavior or existence may change in future.

SHIPMENT_IGNORED (9):

The shipment’s ignore field is true.

Experimental: This field’s behavior or existence may change in future.

SKIPPED_IN_INJECTED_SOLUTION_CONSTRAINT (10):

The shipment is skipped in the injected_solution_constraint.

Experimental: This field’s behavior or existence may change in future.

VEHICLE_ROUTE_IS_FULLY_SEQUENCE_CONSTRAINED (11):

The vehicle route relaxation specified in the injected_solution_constraint doesn’t permit any visit to be inserted.

Experimental: This field’s behavior or existence may change in future.

ZERO_PENALTY_COST (13):

The shipment has a zero penalty cost. While this can be useful as an advanced modelling choice, it may also explain after the fact why a shipment was skipped.

Experimental: This field’s behavior or existence may change in future.

class google.maps.routeoptimization_v1.types.TimeWindow(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Time windows constrain the time of an event, such as the arrival time at a visit, or the start and end time of a vehicle.

Hard time window bounds, start_time and end_time, enforce the earliest and latest time of the event, such that start_time <= event_time <= end_time. The soft time window lower bound, soft_start_time, expresses a preference for the event to happen at or after soft_start_time by incurring a cost proportional to how long before soft_start_time the event occurs. The soft time window upper bound, soft_end_time, expresses a preference for the event to happen at or before soft_end_time by incurring a cost proportional to how long after soft_end_time the event occurs. start_time, end_time, soft_start_time and soft_end_time should be within the global time limits (see [ShipmentModel.global_start_time][google.maps.routeoptimization.v1.ShipmentModel.global_start_time] and [ShipmentModel.global_end_time][google.maps.routeoptimization.v1.ShipmentModel.global_end_time]) and should respect:

<= `start_time` <= `end_time` and
<= `start_time` <= `soft_start_time` and
<= `soft_end_time` <= `end_time`.

start_time¶

The hard time window start time. If unspecified it will be set to ShipmentModel.global_start_time.

Type: google.protobuf.timestamp_pb2.Timestamp

end_time¶

The hard time window end time. If unspecified it will be set to ShipmentModel.global_end_time.

Type: google.protobuf.timestamp_pb2.Timestamp

soft_start_time¶

The soft start time of the time window.

Type: google.protobuf.timestamp_pb2.Timestamp

soft_end_time¶

The soft end time of the time window.

Type: google.protobuf.timestamp_pb2.Timestamp

cost_per_hour_before_soft_start_time¶

A cost per hour added to other costs in the model if the event occurs before soft_start_time, computed as:

   max(0, soft_start_time - t.seconds)
                          * cost_per_hour_before_soft_start_time / 3600,
t being the time of the event.

This cost must be positive, and the field can only be set if soft_start_time has been set.

This field is a member of oneof _cost_per_hour_before_soft_start_time.

Type: float

cost_per_hour_after_soft_end_time¶

A cost per hour added to other costs in the model if the event occurs after soft_end_time, computed as:

   max(0, t.seconds - soft_end_time.seconds)
                    * cost_per_hour_after_soft_end_time / 3600,
t being the time of the event.

This cost must be positive, and the field can only be set if soft_end_time has been set.

This field is a member of oneof _cost_per_hour_after_soft_end_time.

Type: float

class google.maps.routeoptimization_v1.types.TransitionAttributes(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Specifies attributes of transitions between two consecutive visits on a route. Several TransitionAttributes may apply to the same transition: in that case, all extra costs add up and the strictest constraint or limit applies (following natural “AND” semantics).

src_tag¶

Tags defining the set of (src->dst) transitions these attributes apply to.

A source visit or vehicle start matches iff its [VisitRequest.tags][google.maps.routeoptimization.v1.Shipment.VisitRequest.tags] or [Vehicle.start_tags][google.maps.routeoptimization.v1.Vehicle.start_tags] either contains src_tag or does not contain excluded_src_tag (depending on which of these two fields is non-empty).

Type: str

excluded_src_tag¶

See src_tag. Exactly one of src_tag and excluded_src_tag must be non-empty.

Type: str

dst_tag¶

A destination visit or vehicle end matches iff its [VisitRequest.tags][google.maps.routeoptimization.v1.Shipment.VisitRequest.tags] or [Vehicle.end_tags][google.maps.routeoptimization.v1.Vehicle.end_tags] either contains dst_tag or does not contain excluded_dst_tag (depending on which of these two fields is non-empty).

Type: str

excluded_dst_tag¶

See dst_tag. Exactly one of dst_tag and excluded_dst_tag must be non-empty.

Type: str

cost¶

Specifies a cost for performing this transition. This is in the same unit as all other costs in the model and must not be negative. It is applied on top of all other existing costs.

Type: float

cost_per_kilometer¶

Specifies a cost per kilometer applied to the distance traveled while performing this transition. It adds up to any [Vehicle.cost_per_kilometer][google.maps.routeoptimization.v1.Vehicle.cost_per_kilometer] specified on vehicles.

Type: float

distance_limit¶

Specifies a limit on the distance traveled while performing this transition.

As of 2021/06, only soft limits are supported.

Type: google.maps.routeoptimization_v1.types.DistanceLimit

delay¶

Specifies a delay incurred when performing this transition.

This delay always occurs after finishing the source visit and before starting the destination visit.

Type: google.protobuf.duration_pb2.Duration

class google.maps.routeoptimization_v1.types.Uri(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

A Universal Resource Identifier that points to a resource that can be read and written by the Route Optimization API.

uri¶

The URI of the resource. The resource may not yet exist.

The contents of the resource are encoded as either JSON or textproto. Only Google Cloud Storage resources are supported. If the resource is encoded as JSON, the resource name must be suffixed with .json. If the resource is encoded as textproto, the resource name must be suffixed with .txtpb. For example, a Google Cloud Storage URI to a JSON encoded file might look like: gs://bucket/path/input/object.json.

Type: str

class google.maps.routeoptimization_v1.types.Vehicle(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Models a vehicle in a shipment problem. Solving a shipment problem will build a route starting from start_location and ending at end_location for this vehicle. A route is a sequence of visits (see ShipmentRoute).

display_name¶

The user-defined display name of the vehicle. It can be up to 63 characters long and may use UTF-8 characters.

Type: str

travel_mode¶

The travel mode which affects the roads usable by the vehicle and its speed. See also travel_duration_multiple.

Type: google.maps.routeoptimization_v1.types.Vehicle.TravelMode

route_modifiers¶

A set of conditions to satisfy that affect the way routes are calculated for the given vehicle.

Type: google.maps.routeoptimization_v1.types.RouteModifiers

start_location¶

Geographic location where the vehicle starts before picking up any shipments. If not specified, the vehicle starts at its first pickup. If the shipment model has duration and distance matrices, start_location must not be specified.

Type: google.type.latlng_pb2.LatLng

start_waypoint¶

Waypoint representing a geographic location where the vehicle starts before picking up any shipments. If neither start_waypoint nor start_location is specified, the vehicle starts at its first pickup. If the shipment model has duration and distance matrices, start_waypoint must not be specified.

Type: google.maps.routeoptimization_v1.types.Waypoint

end_location¶

Geographic location where the vehicle ends after it has completed its last VisitRequest. If not specified the vehicle’s ShipmentRoute ends immediately when it completes its last VisitRequest. If the shipment model has duration and distance matrices, end_location must not be specified.

Type: google.type.latlng_pb2.LatLng

end_waypoint¶

Waypoint representing a geographic location where the vehicle ends after it has completed its last VisitRequest. If neither end_waypoint nor end_location is specified, the vehicle’s ShipmentRoute ends immediately when it completes its last VisitRequest. If the shipment model has duration and distance matrices, end_waypoint must not be specified.

Type: google.maps.routeoptimization_v1.types.Waypoint

start_tags¶

Specifies tags attached to the start of the vehicle’s route. Empty or duplicate strings are not allowed.

Type: MutableSequence[str]

end_tags¶

Specifies tags attached to the end of the vehicle’s route. Empty or duplicate strings are not allowed.

Type: MutableSequence[str]

start_time_windows¶

Time windows during which the vehicle may depart its start location. They must be within the global time limits (see [ShipmentModel.global_*][google.maps.routeoptimization.v1.ShipmentModel.global_start_time] fields). If unspecified, there is no limitation besides those global time limits.

Time windows belonging to the same repeated field must be disjoint, i.e. no time window can overlap with or be adjacent to another, and they must be in chronological order.

cost_per_hour_after_soft_end_time and soft_end_time can only be set if there is a single time window.

Type: MutableSequence[google.maps.routeoptimization_v1.types.TimeWindow]

end_time_windows¶

Time windows during which the vehicle may arrive at its end location. They must be within the global time limits (see [ShipmentModel.global_*][google.maps.routeoptimization.v1.ShipmentModel.global_start_time] fields). If unspecified, there is no limitation besides those global time limits.

Time windows belonging to the same repeated field must be disjoint, i.e. no time window can overlap with or be adjacent to another, and they must be in chronological order.

cost_per_hour_after_soft_end_time and soft_end_time can only be set if there is a single time window.

Type: MutableSequence[google.maps.routeoptimization_v1.types.TimeWindow]

travel_duration_multiple¶

Specifies a multiplicative factor that can be used to increase or decrease travel times of this vehicle. For example, setting this to 2.0 means that this vehicle is slower and has travel times that are twice what they are for standard vehicles. This multiple does not affect visit durations. It does affect cost if cost_per_hour or cost_per_traveled_hour are specified. This must be in the range [0.001, 1000.0]. If unset, the vehicle is standard, and this multiple is considered 1.0.

WARNING: Travel times will be rounded to the nearest second after this multiple is applied but before performing any numerical operations, thus, a small multiple may result in a loss of precision.

See also extra_visit_duration_for_visit_type below.

This field is a member of oneof _travel_duration_multiple.

Type: float

unloading_policy¶

Unloading policy enforced on the vehicle.

Type: google.maps.routeoptimization_v1.types.Vehicle.UnloadingPolicy

load_limits¶

Capacities of the vehicle (weight, volume, # of pallets for example). The keys in the map are the identifiers of the type of load, consistent with the keys of the [Shipment.load_demands][google.maps.routeoptimization.v1.Shipment.load_demands] field. If a given key is absent from this map, the corresponding capacity is considered to be limitless.

Type: MutableMapping[str, google.maps.routeoptimization_v1.types.Vehicle.LoadLimit]

cost_per_hour¶

Vehicle costs: all costs add up and must be in the same unit as [Shipment.penalty_cost][google.maps.routeoptimization.v1.Shipment.penalty_cost].

Cost per hour of the vehicle route. This cost is applied to the total time taken by the route, and includes travel time, waiting time, and visit time. Using cost_per_hour instead of just cost_per_traveled_hour may result in additional latency.

Type: float

cost_per_traveled_hour¶

Cost per traveled hour of the vehicle route. This cost is applied only to travel time taken by the route (i.e., that reported in [ShipmentRoute.transitions][google.maps.routeoptimization.v1.ShipmentRoute.transitions]), and excludes waiting time and visit time.

Type: float

cost_per_kilometer¶

Cost per kilometer of the vehicle route. This cost is applied to the distance reported in the [ShipmentRoute.transitions][google.maps.routeoptimization.v1.ShipmentRoute.transitions] and does not apply to any distance implicitly traveled from the arrival_location to the departure_location of a single VisitRequest.

Type: float

fixed_cost¶

Fixed cost applied if this vehicle is used to handle a shipment.

Type: float

used_if_route_is_empty¶

This field only applies to vehicles when their route does not serve any shipments. It indicates if the vehicle should be considered as used or not in this case.

If true, the vehicle goes from its start to its end location even if it doesn’t serve any shipments, and time and distance costs resulting from its start –> end travel are taken into account.

Otherwise, it doesn’t travel from its start to its end location, and no break_rule or delay (from TransitionAttributes) are scheduled for this vehicle. In this case, the vehicle’s ShipmentRoute doesn’t contain any information except for the vehicle index and label.

Type: bool

route_duration_limit¶

Limit applied to the total duration of the vehicle’s route. In a given OptimizeToursResponse, the route duration of a vehicle is the difference between its vehicle_end_time and vehicle_start_time.

Type: google.maps.routeoptimization_v1.types.Vehicle.DurationLimit

travel_duration_limit¶

Limit applied to the travel duration of the vehicle’s route. In a given OptimizeToursResponse, the route travel duration is the sum of all its [transitions.travel_duration][google.maps.routeoptimization.v1.ShipmentRoute.Transition.travel_duration].

Type: google.maps.routeoptimization_v1.types.Vehicle.DurationLimit

route_distance_limit¶

Limit applied to the total distance of the vehicle’s route. In a given OptimizeToursResponse, the route distance is the sum of all its [transitions.travel_distance_meters][google.maps.routeoptimization.v1.ShipmentRoute.Transition.travel_distance_meters].

Type: google.maps.routeoptimization_v1.types.DistanceLimit

extra_visit_duration_for_visit_type¶

Specifies a map from visit_types strings to durations. The duration is time in addition to [VisitRequest.duration][google.maps.routeoptimization.v1.Shipment.VisitRequest.duration] to be taken at visits with the specified visit_types. This extra visit duration adds cost if cost_per_hour is specified. Keys (i.e. visit_types) cannot be empty strings.

If a visit request has multiple types, a duration will be added for each type in the map.

Type: MutableMapping[str, google.protobuf.duration_pb2.Duration]

break_rule¶

Describes the break schedule to be enforced on this vehicle. If empty, no breaks will be scheduled for this vehicle.

Type: google.maps.routeoptimization_v1.types.BreakRule

label¶

Specifies a label for this vehicle. This label is reported in the response as the vehicle_label of the corresponding [ShipmentRoute][google.maps.routeoptimization.v1.ShipmentRoute].

Type: str

ignore¶

If true, used_if_route_is_empty must be false, and this vehicle will remain unused.

If a shipment is performed by an ignored vehicle in injected_first_solution_routes, it is skipped in the first solution but is free to be performed in the response.

If a shipment is performed by an ignored vehicle in injected_solution_constraint and any related pickup/delivery is constrained to remain on the vehicle (i.e., not relaxed to level RELAX_ALL_AFTER_THRESHOLD), it is skipped in the response. If a shipment has a non-empty allowed_vehicle_indices field and all of the allowed vehicles are ignored, it is skipped in the response.

Type: bool

class DurationLimit(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

A limit defining a maximum duration of the route of a vehicle. It can be either hard or soft.

When a soft limit field is defined, both the soft max threshold and its associated cost must be defined together.

max_duration¶

A hard limit constraining the duration to be at most max_duration.

Type: google.protobuf.duration_pb2.Duration

soft_max_duration¶

A soft limit not enforcing a maximum duration limit, but when violated makes the route incur a cost. This cost adds up to other costs defined in the model, with the same unit.

If defined, soft_max_duration must be nonnegative. If max_duration is also defined, soft_max_duration must be less than max_duration.

Type: google.protobuf.duration_pb2.Duration

cost_per_hour_after_soft_max¶

Cost per hour incurred if the soft_max_duration threshold is violated. The additional cost is 0 if the duration is under the threshold, otherwise the cost depends on the duration as follows:

cost_per_hour_after_soft_max * (duration - soft_max_duration)

The cost must be nonnegative.

This field is a member of oneof _cost_per_hour_after_soft_max.

Type: float

quadratic_soft_max_duration¶

A soft limit not enforcing a maximum duration limit, but when violated makes the route incur a cost, quadratic in the duration. This cost adds up to other costs defined in the model, with the same unit.

If defined, quadratic_soft_max_duration must be nonnegative. If max_duration is also defined, quadratic_soft_max_duration must be less than max_duration, and the difference must be no larger than one day:

`max_duration - quadratic_soft_max_duration <= 86400 seconds`

Type: google.protobuf.duration_pb2.Duration

cost_per_square_hour_after_quadratic_soft_max¶

Cost per square hour incurred if the quadratic_soft_max_duration threshold is violated.

The additional cost is 0 if the duration is under the threshold, otherwise the cost depends on the duration as follows:

cost_per_square_hour_after_quadratic_soft_max *
(duration - quadratic_soft_max_duration)^2

The cost must be nonnegative.

This field is a member of oneof _cost_per_square_hour_after_quadratic_soft_max.

Type: float

class ExtraVisitDurationForVisitTypeEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)¶: Bases: proto.message.Message

class LoadLimit(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Defines a load limit applying to a vehicle, e.g. “this truck may only carry up to 3500 kg”. See [load_limits][google.maps.routeoptimization.v1.Vehicle.load_limits].

max_load¶

The maximum acceptable amount of load.

This field is a member of oneof _max_load.

Type: int

soft_max_load¶

A soft limit of the load. See [cost_per_unit_above_soft_max][google.maps.routeoptimization.v1.Vehicle.LoadLimit.cost_per_unit_above_soft_max].

Type: int

cost_per_unit_above_soft_max¶

If the load ever exceeds [soft_max_load][google.maps.routeoptimization.v1.Vehicle.LoadLimit.soft_max_load] along this vehicle’s route, the following cost penalty applies (only once per vehicle): (load - [soft_max_load][google.maps.routeoptimization.v1.Vehicle.LoadLimit.soft_max_load])

[cost_per_unit_above_soft_max][google.maps.routeoptimization.v1.Vehicle.LoadLimit.cost_per_unit_above_soft_max]. All costs add up and must be in the same unit as [Shipment.penalty_cost][google.maps.routeoptimization.v1.Shipment.penalty_cost]. Soft limits may only be defined on types that apply to either pickups only or deliveries only throughout the model.

Type: float

start_load_interval¶

The acceptable load interval of the vehicle at the start of the route.

Type: google.maps.routeoptimization_v1.types.Vehicle.LoadLimit.Interval

end_load_interval¶

The acceptable load interval of the vehicle at the end of the route.

Type: google.maps.routeoptimization_v1.types.Vehicle.LoadLimit.Interval

cost_per_kilometer¶

Cost of moving one unit of load over one kilometer for this vehicle. This can be used as a proxy for fuel consumption: if the load is a weight (in Newtons), then load*kilometer has the dimension of an energy.

Experimental: See https://developers.google.com/maps/tt/route-optimization/experimental/load-cost/make-request for more details.

This field is a member of oneof _cost_per_kilometer.

Type: google.maps.routeoptimization_v1.types.Vehicle.LoadLimit.LoadCost

cost_per_traveled_hour¶

Cost of traveling with a unit of load during one hour for this vehicle. Experimental: See https://developers.google.com/maps/tt/route-optimization/experimental/load-cost/make-request for more details.

This field is a member of oneof _cost_per_traveled_hour.

Type: google.maps.routeoptimization_v1.types.Vehicle.LoadLimit.LoadCost

class Interval(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Interval of acceptable load amounts.

min_¶

A minimum acceptable load. Must be ≥ 0. If they’re both specified, [min][google.maps.routeoptimization.v1.Vehicle.LoadLimit.Interval.min] must be ≤ [max][google.maps.routeoptimization.v1.Vehicle.LoadLimit.Interval.max].

Type: int

max_¶

A maximum acceptable load. Must be ≥ 0. If unspecified, the maximum load is unrestricted by this message. If they’re both specified, [min][google.maps.routeoptimization.v1.Vehicle.LoadLimit.Interval.min] must be ≤ [max][google.maps.routeoptimization.v1.Vehicle.LoadLimit.Interval.max].

This field is a member of oneof _max.

Type: int

class LoadCost(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Cost of moving one unit of load during a Transition. For a given load, the cost is the sum of two parts:

min(load, load_threshold) * cost_per_unit_below_threshold
max(0, load - load_threshold) * cost_per_unit_above_threshold

With this cost, solutions prefer to deliver high demands first, or equivalently pickup high demands last. For example, if a vehicle has

load_limit {
  key: "weight"
  value {
    cost_per_kilometer {
      load_threshold: 15
      cost_per_unit_below_threshold: 2.0
      cost_per_unit_above_threshold: 10.0
    }
  }
}

and its route is start,pickup,pickup,delivery,delivery,end with transitions:

transition { vehicle_load['weight'] { amount: 0 }
             travel_distance_meters: 1000.0 }
transition { vehicle_load['weight'] { amount: 10 }
             travel_distance_meters: 1000.0 }
transition { vehicle_load['weight'] { amount: 20 }
             travel_distance_meters: 1000.0 }
transition { vehicle_load['weight'] { amount: 10 }
             travel_distance_meters: 1000.0 }
transition { vehicle_load['weight'] { amount: 0 }
             travel_distance_meters: 1000.0 }

then the cost incurred by this LoadCost is (cost_below * load_below * kilometers + cost_above * load_above * kms)

transition 0: 0.0
transition 1: 2.0 * 10 * 1.0 + 10.0 * 0 * 1.0 = 20.0
transition 2: 2.0 * 15 * 1.0 + 10.0 * (20 - 15) * 1.0 = 80.0
transition 3: 2.0 * 10 * 1.0 + 10.0 * 0 * 1.0 = 20.0
transition 4: 0.0

So the LoadCost over the route is 120.0.

However, if the route is start,pickup,delivery,pickup,delivery,end with transitions:

transition { vehicle_load['weight'] { amount: 0 }
             travel_distance_meters: 1000.0 }
transition { vehicle_load['weight'] { amount: 10 }
             travel_distance_meters: 1000.0 }
transition { vehicle_load['weight'] { amount: 0 }
             travel_distance_meters: 1000.0 }
transition { vehicle_load['weight'] { amount: 10 }
             travel_distance_meters: 1000.0 }
transition { vehicle_load['weight'] { amount: 0 }
             travel_distance_meters: 1000.0 }

then the cost incurred by this LoadCost is

transition 0: 0.0
transition 1: 2.0 * 10 * 1.0 + 10.0 * 0 * 1.0 = 20.0
transition 2: 0.0
transition 3: 2.0 * 10 * 1.0 + 10.0 * 0 * 1.0 = 20.0
transition 4: 0.0

Here the LoadCost over the route is 40.0.

LoadCost makes solutions with heavy-loaded transitions more expensive.

Experimental: See https://developers.google.com/maps/tt/route-optimization/experimental/load-cost/make-request for more details.

load_threshold¶

Amount of load above which the cost of moving a unit of load changes from cost_per_unit_below_threshold to cost_per_unit_above_threshold. Must be >= 0.

This field is a member of oneof _load_threshold.

Type: int

cost_per_unit_below_threshold¶

Cost of moving a unit of load, for each unit between 0 and threshold. Must be a finite value, and >= 0.

This field is a member of oneof _cost_per_unit_below_threshold.

Type: float

cost_per_unit_above_threshold¶

Cost of moving a unit of load, for each unit above threshold. In the special case threshold = 0, this is a fixed cost per unit. Must be a finite value, and >= 0.

This field is a member of oneof _cost_per_unit_above_threshold.

Type: float

class LoadLimitsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)¶: Bases: proto.message.Message

class TravelMode(value)[source]¶

Bases: proto.enums.Enum

Travel modes which can be used by vehicles.

These should be a subset of the Google Maps Platform Routes API travel modes, see: https://developers.google.com/maps/documentation/routes/reference/rest/v2/RouteTravelMode

Note: WALKING routes are in beta and might sometimes be missing clear sidewalks or pedestrian paths. You must display this warning to the user for all walking routes that you display in your app.

Values:

TRAVEL_MODE_UNSPECIFIED (0):: Unspecified travel mode, equivalent to DRIVING.
DRIVING (1):: Travel mode corresponding to driving directions (car, …).
WALKING (2):: Travel mode corresponding to walking directions.

class UnloadingPolicy(value)[source]¶

Bases: proto.enums.Enum

Policy on how a vehicle can be unloaded. Applies only to shipments having both a pickup and a delivery.

Other shipments are free to occur anywhere on the route independent of unloading_policy.

Values:

UNLOADING_POLICY_UNSPECIFIED (0):: Unspecified unloading policy; deliveries must just occur after their corresponding pickups.
LAST_IN_FIRST_OUT (1):: Deliveries must occur in reverse order of pickups
FIRST_IN_FIRST_OUT (2):: Deliveries must occur in the same order as pickups

class google.maps.routeoptimization_v1.types.VehicleFullness(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

[VehicleFullness][google.maps.routeoptimization.v1.VehicleFullness] is a metric which computes how full a vehicle is. Each [VehicleFullness][google.maps.routeoptimization.v1.VehicleFullness] field is between 0 and 1, computed as the ratio between a capped metric field (e.g. [AggregatedMetrics.travel_distance_meters][google.maps.routeoptimization.v1.AggregatedMetrics.travel_distance_meters]) and its related vehicle limit (e.g. [Vehicle.route_distance_limit][google.maps.routeoptimization.v1.Vehicle.route_distance_limit]), if it exists. Otherwise the fullness ratio stays unset. If the limit is 0, the field is set to 1. Note: when a route is subject to traffic infeasibilities, some raw fullness ratios might exceed 1.0, e.g. the vehicle might exceed its distance limit. In these cases, we cap the fullness values at 1.0.

max_fullness¶

Maximum of all other fields in this message.

This field is a member of oneof _max_fullness.

Type: float

distance¶

The ratio between [AggregatedMetrics.travel_distance_meters][google.maps.routeoptimization.v1.AggregatedMetrics.travel_distance_meters] and [Vehicle.route_distance_limit][google.maps.routeoptimization.v1.Vehicle.route_distance_limit]. If [Vehicle.route_distance_limit][google.maps.routeoptimization.v1.Vehicle.route_distance_limit] is unset, this field will be unset.

This field is a member of oneof _distance.

Type: float

travel_duration¶

The ratio between [AggregatedMetrics.travel_duration_seconds][] and [Vehicle.travel_duration_limit][google.maps.routeoptimization.v1.Vehicle.travel_duration_limit]. If [Vehicle.travel_duration_limit][google.maps.routeoptimization.v1.Vehicle.travel_duration_limit] is unset, this field will be unset.

This field is a member of oneof _travel_duration.

Type: float

active_duration¶

The ratio between [AggregatedMetrics.total_duration_seconds][] and [Vehicle.route_duration_limit][google.maps.routeoptimization.v1.Vehicle.route_duration_limit]. If [Vehicle.route_duration_limit][google.maps.routeoptimization.v1.Vehicle.route_duration_limit] is unset, this field will be unset.

This field is a member of oneof _active_duration.

Type: float

max_load¶

The maximum ratio among all types of [AggregatedMetrics.max_load][] and their respective [Vehicle.load_limits][google.maps.routeoptimization.v1.Vehicle.load_limits]. If all [Vehicle.load_limits][google.maps.routeoptimization.v1.Vehicle.load_limits] fields are unset, this field will be unset.

This field is a member of oneof _max_load.

Type: float

active_span¶

The ratio (vehicle_end_time - vehicle_start_time) / (latest_vehicle_end_time - earliest_vehicle_start_time) for a given vehicle. If the denominator is not present, it uses ([ShipmentModel.global_end_time][google.maps.routeoptimization.v1.ShipmentModel.global_end_time] - [ShipmentModel.global_start_time][google.maps.routeoptimization.v1.ShipmentModel.global_start_time]) instead.

This field is a member of oneof _active_span.

Type: float

class google.maps.routeoptimization_v1.types.Waypoint(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Encapsulates a waypoint. Waypoints mark arrival and departure locations of VisitRequests, and start and end locations of Vehicles.

This message has oneof fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

location¶

A point specified using geographic coordinates, including an optional heading.

This field is a member of oneof location_type.

Type: google.maps.routeoptimization_v1.types.Location

place_id¶

The POI place ID associated with the waypoint. When using a place ID to specify arrival or departure location of a VisitRequest, use a place ID that is specific enough to determine a LatLng location for navigation to the place. For example, a place ID representing a building is suitable, but a place ID representing a road is discouraged.

This field is a member of oneof location_type.

Type: str

side_of_road¶

Optional. Indicates that the location of this waypoint is meant to have a preference for the vehicle to stop at a particular side of road. When you set this value, the route will pass through the location so that the vehicle can stop at the side of road that the location is biased towards from the center of the road. This option doesn’t work for the ‘WALKING’ travel mode.

Type: bool

vehicle_stopover¶

Indicates that the waypoint is meant for vehicles to stop at, where the intention is to either pick up or drop off. This option works only for the ‘DRIVING’ travel mode, and when the ‘location_type’ is ‘location’.

Experimental: This field’s behavior or existence may change in future.

Type: bool

Types for Google Maps Routeoptimization v1 API¶

google-maps-routeoptimization

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