Cloud Optimization v1 API - Namespace Google.Cloud.Optimization.V1 (2.5.0)

Classes

AggregatedMetrics

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

AsyncModelMetadata

The long running operation metadata for async model related methods.

AsyncModelMetadata.Types

Container for nested types declared in the AsyncModelMetadata message type.

BatchOptimizeToursRequest

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.

BatchOptimizeToursRequest.Types

Container for nested types declared in the BatchOptimizeToursRequest message type.

BatchOptimizeToursRequest.Types.AsyncModelConfig

Information for solving one optimization model asynchronously.

BatchOptimizeToursResponse

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

BreakRule

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).

BreakRule.Types

Container for nested types declared in the BreakRule message type.

BreakRule.Types.BreakRequest

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).

BreakRule.Types.FrequencyConstraint

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

CapacityQuantity

Deprecated: Use [Vehicle.LoadLimit.Interval][google.cloud.optimization.v1.Vehicle.LoadLimit.Interval] instead.

CapacityQuantityInterval

Deprecated: Use [Vehicle.LoadLimit.Interval][google.cloud.optimization.v1.Vehicle.LoadLimit.Interval] instead.

DistanceLimit

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.

FleetRouting

A service for optimizing vehicle tours.

Validity of certain types of fields:

google.protobuf.Timestamp
- Times are in Unix time: seconds since 1970-01-01T00:00:00+00:00.
- seconds must be in [0, 253402300799], i.e. in [1970-01-01T00:00:00+00:00, 9999-12-31T23:59:59+00:00].
- nanos must be unset or set to 0.
google.protobuf.Duration
- seconds must be in [0, 253402300799], i.e. in [1970-01-01T00:00:00+00:00, 9999-12-31T23:59:59+00:00].
- nanos must be unset or set to 0.
google.type.LatLng
- latitude must be in [-90.0, 90.0].
- longitude must be in [-180.0, 180.0].
- at least one of latitude and longitude must be non-zero.

FleetRouting.FleetRoutingBase

Base class for server-side implementations of FleetRouting

FleetRouting.FleetRoutingClient

Client for FleetRouting

FleetRoutingClient

FleetRouting client wrapper, for convenient use.

FleetRoutingClientBuilder

Builder class for FleetRoutingClient to provide simple configuration of credentials, endpoint etc.

FleetRoutingClientImpl

FleetRouting client wrapper implementation, for convenient use.

FleetRoutingSettings

Settings for FleetRoutingClient instances.

GcsDestination

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

GcsSource

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

InjectedSolutionConstraint

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

InjectedSolutionConstraint.Types

Container for nested types declared in the InjectedSolutionConstraint message type.

InjectedSolutionConstraint.Types.ConstraintRelaxation

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.

InjectedSolutionConstraint.Types.ConstraintRelaxation.Types

Container for nested types declared in the ConstraintRelaxation message type.

InjectedSolutionConstraint.Types.ConstraintRelaxation.Types.Relaxation

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.

InjectedSolutionConstraint.Types.ConstraintRelaxation.Types.Relaxation.Types

Container for nested types declared in the Relaxation message type.

InputConfig

The desired input location information.

Location

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

OptimizeToursRequest

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

OptimizeToursRequest.Types

Container for nested types declared in the OptimizeToursRequest message type.

OptimizeToursResponse

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.

OptimizeToursResponse.Types

Container for nested types declared in the OptimizeToursResponse message type.

OptimizeToursResponse.Types.Metrics

Overall metrics, aggregated over all routes.

OptimizeToursValidationError

Describes an error encountered when validating an OptimizeToursRequest.

OptimizeToursValidationError.Types

Container for nested types declared in the OptimizeToursValidationError message type.

OptimizeToursValidationError.Types.FieldReference

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.

OutputConfig

The desired output location.

RouteModifiers

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

Shipment

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).

Shipment.Types

Container for nested types declared in the Shipment message type.

Shipment.Types.Load

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.cloud.optimization.v1.Shipment.load_demands].

Shipment.Types.VisitRequest

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).

ShipmentModel

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

ShipmentModel.Types

Container for nested types declared in the ShipmentModel message type.

ShipmentModel.Types.BreakRule

Deprecated: Use top level [BreakRule][google.cloud.optimization.v1.ShipmentModel.BreakRule] instead. 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
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.
after the vehicle end (ditto, with the vehicle end time).

ShipmentModel.Types.BreakRule.Types

Container for nested types declared in the BreakRule message type.

ShipmentModel.Types.BreakRule.Types.BreakRequest

ShipmentModel.Types.BreakRule.Types.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

ShipmentModel.Types.DurationDistanceMatrix

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

ShipmentModel.Types.DurationDistanceMatrix.Types

Container for nested types declared in the DurationDistanceMatrix message type.

ShipmentModel.Types.DurationDistanceMatrix.Types.Row

Specifies a row of the duration and distance matrix.

ShipmentModel.Types.PrecedenceRule

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.

ShipmentRoute

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     |       |           |         |         ||
  ||     |       |           |       |           |         |         ||
--++-----------------------------------------------------------------++-->

ShipmentRoute.Types

Container for nested types declared in the ShipmentRoute message type.

ShipmentRoute.Types.Break

Data representing the execution of a break.

ShipmentRoute.Types.Delay

Deprecated: Use [ShipmentRoute.Transition.delay_duration][google.cloud.optimization.v1.ShipmentRoute.Transition.delay_duration] instead. Time interval spent on the route resulting from a [TransitionAttributes.delay][google.cloud.optimization.v1.TransitionAttributes.delay].

ShipmentRoute.Types.EncodedPolyline

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.

ShipmentRoute.Types.Transition

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

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

ShipmentRoute.Types.TravelStep

Deprecated: Use [ShipmentRoute.Transition][google.cloud.optimization.v1.ShipmentRoute.Transition] instead. Travel between each visit along the route: from the vehicle's start_location to the first visit's arrival_location, then from the first visit's departure_location to the second visit's arrival_location, and so on until the vehicle's end_location. This accounts only for the actual travel between visits, not counting the waiting time, the time spent performing a visit, nor the distance covered during a visit.

Invariant: travel_steps_size() == visits_size() + 1.

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

ShipmentRoute.Types.VehicleLoad

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

ShipmentRoute.Types.Visit

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

ShipmentTypeIncompatibility

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.

ShipmentTypeIncompatibility.Types

Container for nested types declared in the ShipmentTypeIncompatibility message type.

ShipmentTypeRequirement

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

ShipmentTypeRequirement.Types

Container for nested types declared in the ShipmentTypeRequirement message type.

SkippedShipment

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.

SkippedShipment.Types

Container for nested types declared in the SkippedShipment message type.

SkippedShipment.Types.Reason

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).

SkippedShipment.Types.Reason.Types

Container for nested types declared in the Reason message type.

TimeWindow

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.cloud.optimization.v1.ShipmentModel.global_start_time] and [ShipmentModel.global_end_time][google.cloud.optimization.v1.ShipmentModel.global_end_time]) and should respect:

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

TransitionAttributes

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).

Vehicle

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).

Vehicle.Types

Container for nested types declared in the Vehicle message type.

Vehicle.Types.DurationLimit

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.

Vehicle.Types.LoadLimit

Defines a load limit applying to a vehicle, e.g. "this truck may only carry up to 3500 kg". See [load_limits][google.cloud.optimization.v1.Vehicle.load_limits].

Vehicle.Types.LoadLimit.Types

Container for nested types declared in the LoadLimit message type.

Vehicle.Types.LoadLimit.Types.Interval

Interval of acceptable load amounts.

Waypoint

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

Enums

AsyncModelMetadata.Types.State

Possible states of the operation.

DataFormat

Data formats for input and output files.

InjectedSolutionConstraint.Types.ConstraintRelaxation.Types.Relaxation.Types.Level

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.

InputConfig.SourceOneofCase

Enum of possible cases for the "source" oneof.

OptimizeToursRequest.Types.SearchMode

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

OptimizeToursRequest.Types.SolvingMode

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.cloud.optimization.v1.OptimizeToursRequest.max_validation_errors] to cap the number of errors returned.