Fleet routing

Turn-by-turn directions and routes created for two trucks making six deliveries using the routing service

What is fleet routing?

Fleet routing, also known as a vehicle routing problem (VRP), is the process of determining the most effective routes for a set of vehicles that need to visit a set of locations. It creates the overall minimum transportation cost.

You can use fleet routing to build applications such as:

A large furniture store might deliver goods from a central warehouse location.
A specialized grease recycling company might route trucks from a facility to pick up used grease from restaurants.
A health department might schedule daily inspection visits for each of its health inspectors.
A health care provider might want to find best routes to transport people from their homes to different hospitals for medical appointments.

The goal of the fleet routing service is to find what orders should be serviced by each vehicle and in what sequence the orders should be visited. The service can take into account many additional business constraints such as:

Matching vehicle capacities with order quantities.
Providing a high level of customer service by honoring any time windows on orders.
Pairing orders so they are serviced by the same route.
Giving breaks to drivers.

How fleet routing works

The typical workflow for determining fleet routes is to:

Define the locations to visit (orders).
Define the start and end location for vehicles (depots).
Define the travel mode (driving a car or truck).
Use the service to find the best routes and directions for all vehicles.

URL requests

You can perform fleet routing by making an HTTPS request to the Fleet Routing service execute operation or by using client APIs. Specify the orders, depots, routes, and optionally, additional parameters such as the travel mode used when finding routes or if you need to generate driving directions.

Request limits

Limit	Direct	Job
Maximum number of orders:	100	2,000
Maximum number of routes:	2	100
Maximum number of orders per route:	100	200
Maximum transaction time:	5 minutes	4 hours
Maximum number of point barriers:	250	250
Maximum number of street features intersected by polyline barriers:	500	500
Maximum number of street features intersected by polygon barriers:	2,000	2,000
Maximum straight-line distance for the walking travel mode: (If the straight-line distance between any orders or depots is greater than this limit, the analysis will fail when the walking restriction is used.)	27 miles (43.45 kilometers)	27 miles (43.45 kilometers)
Force hierarchy beyond a straight-line distance of: (If the straight-line distance between any orders or depots is greater than the limit shown here, the analysis uses hierarchy, even if the `travel_mode` defines not to use hierarchy.)	50 miles (80.46 kilometers)	50 miles (80.46 kilometers)
Maximum snap tolerance: (If the distance between an input point and its nearest traversable street is greater than the distance specified here, the point is excluded from the analysis.)	12.42 miles (20 kilometers)	12.42 miles (20 kilometers)
Maximum number of directions features that can be returned:	10,000	200,000

Required parameters

Direct

Use for shorter transactions that complete in less than 5 minutes and optimize up to 2 routes and 100 orders.

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https://logistics.arcgis.com/arcgis/rest/services/World/VehicleRoutingProblemSync/GPServer/EditVehicleRoutingProblem/execute?<parameters>

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Key parameters

Name (Direct)	Description
`orders`	A list of locations to visit with attributes such as the order name or the time required to complete the delivery at each order.
`depots`	The start and the return location for the vehicles.
`routes`	The characteristics and constraints for each vehicle. For example, the start and the return depot name, the maximum number of orders a vehicle is allowed to visit, and the total time the vehicle is allowed to operate.
`travel_mode`	The mode of transportation such as driving a car or a truck.
`default_date`	The date on which all of your routes start.
`populate_directions`	Generate driving directions for the routes.

Additional parameters: Solve complex fleet routing scenarios by specifying additional inputs such as route_renewals, order_pairs, breaks, route_zones or setting additional constraints when finding routes using time_window_factor, excess_transit_factor, spatially_cluster_routes.

Job

Use for longer transactions that can take up to 4 hours and optimize up to 100 routes and 2,000 orders.

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https://logistics.arcgis.com/arcgis/rest/services/World/VehicleRoutingProblem/GPServer/SolveVehicleRoutingProblem/submitJob?<parameters>

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Key parameters

Name (Job)	Description
`orders`	A list of locations to visit with attributes such as the order name or the time required to complete the delivery at each order.
`depots`	The start and the return location for the vehicles.
`routes`	The characteristics and constraints for each vehicle. For example, the start and the return depot name, the maximum number of orders a vehicle is allowed to visit, and the total time the vehicle is allowed to operate.
`travel_mode`	The mode of transportation such as driving a car or a truck.
`default_date`	The date on which all of your routes start.
`populate_directions`	Generate driving directions for the routes.

Code examples

Direct: Multi-vehicle routing and delivery

In this example, use the fleet routing service to find optimized routes and directions for an appliance delivery company using two vehicles which start from a warehouse and return to the same location at the end of the working day.

In this scenario, two vehicles will depart from a warehouse located in Santa Monica, California. Each vehicle has a capacity of four appliances. There are a total of six restaurants to visit and it takes ten minutes at complete the delivery at each restaurant. Each vehicle needs to return in one hour and can only visit a maximum of three restaurants in total.

The response contains a list of results describing various outputs such as:

Set of stops that shows the route assignment.
Set of routes that shows the overall time and distance.
Set of directions for each route (if you requested to populate directions).

APIs

ArcGIS Maps SDK for JavaScript

ArcGIS API for Python

ArcGIS REST JS

Esri Leaflet

MapLibre GL JS

OpenLayers

CesiumJS

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      const geoprocessorUrl = "https://logistics.arcgis.com/arcgis/rest/services/World/VehicleRoutingProblemSync/GPServer/EditVehicleRoutingProblem"

      const params = {
        orders,                    // Feature Set
        depots,                    // Feature Set
        routes,                    // Feature Set
        populate_directions: true  // "Generate driving directions for the routes"
      };

      const { results } = await geoprocessor.execute(geoprocessorUrl, params);

      const outStops = results[1].value.features;  // Graphics[]
      const outRoutes = results[2].value.features; // Graphics[]

      showStops(outStops);
      showRoutes(outRoutes);
    }

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REST API

cURL

HTTP

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curl https://logistics.arcgis.com/arcgis/rest/services/World/VehicleRoutingProblemSync/GPServer/EditVehicleRoutingProblem/execute? \
-d "f=json" \
-d "token=<ACCESS_TOKEN>" \
-d "orders={'type':'features','features':[{'attributes':{'Name':'Father\'s Office','ServiceTime':10},'geometry':{'x':-118.498406,'y':34.029445}},{'attributes':{'Name':'R+D Kitchen','ServiceTime':10},'geometry':{'x':-118.495788,'y':34.032339}},{'attributes':{'Name':'Pono Burger','ServiceTime':10},'geometry':{'x':-118.489469,'y':34.019000}},{'attributes':{'Name':'Il Ristorante di Giorgio Baldi','ServiceTime':10},'geometry':{'x':-118.518787,'y':34.028508}},{'attributes':{'Name':'Milo + Olive','ServiceTime':10},'geometry':{'x':-118.476026,'y':34.037572}},{'attributes':{'Name':'Dialogue','ServiceTime':10},'geometry':{'x':-118.495814,'y':34.017042}}]}" \
-d "depots={'type':'features','features':[{'attributes':{'Name':'Bay Cities Kitchens and Appliances'},'geometry':{'x':-118.469630,'y':34.037555}}]}" \
-d "routes={'features':[{'attributes':{'Name':'Route 1','Description':'vehicle 1','StartDepotName':'Bay Cities Kitchens and Appliances','EndDepotName':'Bay Cities Kitchens and Appliances','Capacities':'4','MaxOrderCount':3,'MaxTotalTime':60,}},{'attributes':{'Name':'Route 2','Description':'vehicle 2','StartDepotName':'Bay Cities Kitchens and Appliances','EndDepotName':'Bay Cities Kitchens and Appliances','Capacities':'4','MaxOrderCount':3,'MaxTotalTime':60,}}]}" \
-d "populate_directions=true"

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For this example scenario, the important information from the response includes:

In the out_stops result, the RouteName field shows the route to which an order is assigned to.
In the out_routes result,
- The OrderCount field shows the total number of orders assigned to a route.
- The TotalTime field shows the overall route time (travel time + time to make the delivery) in Minutes.
- The TotalOrderServiceTime field shows the time spent making the delivery in Minutes.
- The TotalTravelTime field shows the travel time (minus the delivery time) in Minutes.
- The TotalDistance field that shows the travel distance in Miles for each route.
In the out_directions result, the Text field contains the driving instruction for each route.

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{
    "results": [
      {
        "paramName": "out_stops",
        "value": {
          "fields": [
            // One or more field definitions
          ],
          "features": [
            {
              "attributes": {
                "Name": "Father's Office",
                "RouteName": "Route 1"
                // more field values
              }
            },
            // additional stops assigned to Route 1
            {
              "attributes": {
                "Name": "Pono Burger",
                "RouteName": "Route 2"
                // more field values
              }
            }
            // additional stops assigned to Route 2
          ],
          "exceededTransferLimit": false
        }
      },
      {
        "paramName": "out_routes",
        "value": {
          "geometryType": "esriGeometryPolyline",
          "spatialReference": {
            "wkid": 4326,
            "latestWkid": 4326
          },
          "fields": [
            // One or more field definitions
          ],
          "features": [
            {
              "attributes": {
                "Name": "Route 1",
                "OrderCount": 3,
                "TotalTime": 44.35174229927361,
                "TotalOrderServiceTime": 30,
                "TotalTravelTime": 14.35174229927361,
                "TotalDistance": 4.7165690223626644
                // more field values

              },
              "geometry": {
                "paths": [
                  [
                    [
                      -118.46985210799994,
                      34.037297225000032
                    ]
                    // additional points that make up the path geometry

                  ],
                  [
                    [
                      -118.49848681399999,
                      34.029544464000026
                    ]
                    // additional points that make up the path geometry
                  ]
                  // additional path that make up the route
                ]
              }
            },
            {
              "attributes": {
                "Name": "Route 2",
                "OrderCount": 3,
                "TotalTime": 53.712840937077999,
                "TotalOrderServiceTime": 30,
                "TotalTravelTime": 23.712840937077999,
                "TotalDistance": 8.9522377804877333
                // more field values
              },
              "geometry": {
                "paths": [
                  // one or more paths that make up the route
                ]
              }
            }
          ],
          "exceededTransferLimit": false
        }
      },
      {
        "paramName": "out_directions",
        "value": {
          "geometryType": "esriGeometryPolyline",
          "spatialReference": {
            "wkid": 4326,
            "latestWkid": 4326
          },
          "fields": [
            // One or more field definitions
          ],
          "features": [
            {
              "attributes": {
                "RouteName": "Route 1",
                "ArriveTime": 1606291199999,
                "Text": "Start at Bay Cities Kitchens & Appliances",
                "ElapsedTime": 0,
                "DriveDistance": 0
                // more field values
              }
            },
            {
              "attributes": {
                "RouteName": "Route 1",
                "ArriveTime": 1606291199999,
                "Text": "Go northwest on Berkeley St toward Arizona Ave",
                "ElapsedTime": 1.020147442817688,
                "DriveDistance": 0.23870387673377991
                // more field values
              },
              "geometry": {
                "paths": [
                  // one or more path that make up the direction geometry

                ]
              }
            },
            // additional driving directions for Route 1
            {
              "attributes": {
                "RouteName": "Route 1",
                "ArriveTime": 1606293904131,
                "Text": "Finish at Bay Cities Kitchens & Appliances, on the left",
                "ElapsedTime": 0,
                "DriveDistance": 0
                 // more field values
              }
            }
            // additional driving directions for Route 2
          ],
          "exceededTransferLimit": false
        }
      }
      // additional output parameters
    ],
    "messages": [
      {
        "type": "esriJobMessageTypeWarning",
        "description": "Network elements with avoid-restrictions are traversed in the output (restriction attribute names: \"Through Traffic Prohibited\")."
      }
    ]
  }

See full response

Job: Goods delivery

In this example, you will find the best routes for a fleet of three vehicles, operated by a distribution company, to deliver goods from a distribution center to a set of nine grocery stores. Each store has a specific quantity of demand for the goods, and each truck has a limited capacity for carrying the goods. The main objective is to assign trucks in the fleet a subset of the stores to service and to sequence the deliveries in a way that minimizes the overall transportation costs.

In this scenario, specify the stores as orders, the distribution center as depots, and the three trucks as routes.

For the orders parameter, specify the following attributes:
- The store name as the Name attribute.
- The service time as the ServiceTime attribute.
- The total weight of goods to be delivered as the DeliveryQuantities attribute.
- The time range in which the store accepts deliveries as the TimeWindowStart1 and TimeWindowEnd1 attributes.
- Since the time windows should not be violated, specify 0 as the value for the MaxViolationTime1 attribute.
For the depots parameter, specify the following attributes:
- The depot name as the Name attribute.
- The depot operating time as the TimeWindowStart1 and TimeWindowEnd1 attributes.
For the routes parameter, specify the following attributes:
- The name for each truck as the Name attribute.
- The depot name from where the trucks operate as the StartDepotName and EndDepotName attributes.
  
  Tip
  The values for the StartDepotName and EndDepotName attributes need to match with the Name attribute specified for the depots parameter.
- The time required to fully load the truck with goods as StartDepotServiceTime attribute.
- The trucks can start operating as soon as the depot opens, so you specify the EarliestStartTime and LatestStartTime attributes to have the same values as the TimeWindowStart1 attribute for the depots parameter.
- The maximum carrying capacity of each truck as the Capacities attribute.
- The wage of the truck driver as the CostPerUnitTime attribute.
- The average dollar amount spent per mile on fuel consumption, truck depreciation, and maintenance as the CostPerUnitDistance parameter.
- The maximum number of stores that can be serviced by a truck as the MaxOrderCount attribute.
- The maximum duration of the work shift for the drivers according to the workday constraints as the MaxTotalTime attribute.
- The maximum time a truck can spend driving on the streets as the MaxTravelTime attribute. This considers the need to satisfy the workday constraints and still be able to serve a reasonable number of stores while taking into account the service time needed at a store.
- The maximum distance a truck can travel that balances the daily fuel and maintenance costs among the fleet as the MaxTotalDistance attribute.
Since your time-based attribute values, such as ServiceTime, CostPerUnitTime, and MaxTotalTime are in minutes, you can use the default value (which is minutes) for the time_units parameter. Similarly, your distance-based attributes values, such as CostPerUnitDistance and MaxTotalDistance, are in miles, you can use the default value (which is miles) for the distance_units parameter.
Since we are finding routes for delivery trucks, we need to make sure we follow the rules that pertain to driving trucks. These include, not driving on streets that are restricted for trucks and do not require making any U-turns since it is difficult for these delivery trucks to make them. So we specify the travel_mode parameter to a value that defines a trucking time travel mode.
You need to generate driving directions in English for each route, so set the populate_directions parameter to true and the directions_language parameter to en.
Since we are generating driving directions, the shape of the output routes can be obtained from the directions output. So as a performance improvement and to reduce the size of the response we need to fetch, we will not populate any shape for the output routes by setting populate_route_lines to false.
Since you have time windows on orders and depots, you need to specify the default_date parameter.

The default values for all the remaining parameters are valid for this problem, and therefore you will not pass those parameters in your request.

APIs

ArcGIS Maps SDK for JavaScript

ArcGIS API for Python

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          const url = "https://logistics.arcgis.com/arcgis/rest/services/World/VehicleRoutingProblem/GPServer/SolveVehicleRoutingProblem";

          const geoprocessingOptions = {
            outSpatialReference: view.spatialReference
          };

          const jobInfo = await geoprocessor.submitJob(url, params, geoprocessingOptions);

          const options = {
            statusCallback: (jobInfo) => {
              const timestamp = new Date().toLocaleTimeString();
              const message = jobInfo.messages[jobInfo.messages.length - 1];
              console.log(`${timestamp}: ${message.description}`);
            }
          };
          await jobInfo.waitForJobCompletion(options);

          const [directionsResult, routesResult, stopsResult] = await Promise.all([
            jobInfo.fetchResultData("out_directions"),
            jobInfo.fetchResultData("out_routes"),
            jobInfo.fetchResultData("out_stops")
          ]);

          return {
            directions: directionsResult.value.features,
            routes: routesResult.value.features,
            stops: stopsResult.value.features
          };
        }
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REST API

Unlike Direct request type which allows you to make a request and get back all the results in the response, when working with a Job request type, you need to follow a three step workflow:

Make the submitJob request with the appropriate request parameters to get a job id.
Using the job id, check the job status to see if the job completed successfully.
Use the job id to get one or more results.

Request

cURL

HTTP

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curl https://logistics.arcgis.com/arcgis/rest/services/World/VehicleRoutingProblem/GPServer/SolveVehicleRoutingProblem/submitJob? \
-d "f=json" \
-d "token=<ACCESS_TOKEN>" \
-d "orders={'features':[{'geometry':{'x':-122.51,'y':37.7724},'attributes':{'DeliveryQuantities':1706,'Name':'Store_1','ServiceTime':25,'TimeWindowStart1':1608051600000,'TimeWindowEnd1':1608080400000,'MaxViolationTime1':0}},{'geometry':{'x':-122.4889,'y':37.7538},'attributes':{'DeliveryQuantities':1533,'Name':'Store_2','ServiceTime':23,'TimeWindowStart1':1608051600000,'TimeWindowEnd1':1608080400000,'MaxViolationTime1':0}},{'geometry':{'x':-122.4649,'y':37.7747},'attributes':{'DeliveryQuantities':1580,'Name':'Store_3','ServiceTime':24,'TimeWindowStart1':1608051600000,'TimeWindowEnd1':1608080400000,'MaxViolationTime1':0}},{'geometry':{'x':-122.4739,'y':37.7432},'attributes':{'DeliveryQuantities':1289,'Name':'Store_4','ServiceTime':20,'TimeWindowStart1':1608051600000,'TimeWindowEnd1':1608080400000,'MaxViolationTime1':0}},{'geometry':{'x':-122.4493,'y':37.7315},'attributes':{'DeliveryQuantities':1302,'Name':'Store_5','ServiceTime':21,'TimeWindowStart1':1608051600000,'TimeWindowEnd1':1608080400000,'MaxViolationTime1':0}},{'geometry':{'x':-122.4917,'y':37.6493},'attributes':{'DeliveryQuantities':1775,'Name':'Store_6','ServiceTime':26,'TimeWindowStart1':1608051600000,'TimeWindowEnd1':1608080400000,'MaxViolationTime1':0}},{'geometry':{'x':-122.4832,'y':37.7012},'attributes':{'DeliveryQuantities':1014,'Name':'Store_7','ServiceTime':17,'TimeWindowStart1':1608051600000,'TimeWindowEnd1':1608080400000,'MaxViolationTime1':0}},{'geometry':{'x':-122.5301,'y':37.8935},'attributes':{'DeliveryQuantities':1761,'Name':'Store_8','ServiceTime':26,'TimeWindowStart1':1608051600000,'TimeWindowEnd1':1608080400000,'MaxViolationTime1':0}},{'geometry':{'x':-122.2875,'y':37.8909},'attributes':{'DeliveryQuantities':1815,'Name':'Store_9','ServiceTime':27,'TimeWindowStart1':1608051600000,'TimeWindowEnd1':1608080400000,'MaxViolationTime1':0}}]}" \
-d "depots={'features':[{'geometry':{'x':-122.3943,'y':37.7967},'attributes':{'Name':'San Francisco','TimeWindowStart1':1608048000000,'TimeWindowEnd1':1608080400000}}]}" \
-d "routes={'features':[{'attributes':{'Name':'Truck_1','StartDepotName':'San Francisco','EndDepotName':'San Francisco','StartDepotServiceTime':60,'EarliestStartTime':1608048000000,'LatestStartTime':1608048000000,'Capacities':'15000','CostPerUnitTime':0.2,'CostPerUnitDistance':1.5,'MaxOrderCount':3,'MaxTotalTime':360,'MaxTotalTravelTime':180,'MaxTotalDistance':100}},{'attributes':{'Name':'Truck_2','StartDepotName':'San Francisco','EndDepotName':'San Francisco','StartDepotServiceTime':60,'EarliestStartTime':1608048000000,'LatestStartTime':1608048000000,'Capacities':'15000','CostPerUnitTime':0.2,'CostPerUnitDistance':1.5,'MaxOrderCount':3,'MaxTotalTime':360,'MaxTotalTravelTime':180,'MaxTotalDistance':100}},{'attributes':{'Name':'Truck_3','StartDepotName':'San Francisco','EndDepotName':'San Francisco','StartDepotServiceTime':60,'EarliestStartTime':1608048000000,'LatestStartTime':1608048000000,'Capacities':'15000','CostPerUnitTime':0.2,'CostPerUnitDistance':1.5,'MaxOrderCount':3,'MaxTotalTime':360,'MaxTotalTravelTime':180,'MaxTotalDistance':100}}]}" \
-d "time_units=Minutes" \
-d "distance_units=Miles" \
-d "travel_mode={'attributeParameterValues':[{'attributeName':'Use Preferred Truck Routes','parameterName':'Restriction Usage','value':'PREFER_HIGH'},{'attributeName':'Avoid Unpaved Roads','parameterName':'Restriction Usage','value':'AVOID_HIGH'},{'attributeName':'Avoid Private Roads','parameterName':'Restriction Usage','value':'AVOID_MEDIUM'},{'attributeName':'Driving a Truck','parameterName':'Restriction Usage','value':'PROHIBITED'},{'attributeName':'Roads Under Construction Prohibited','parameterName':'Restriction Usage','value':'PROHIBITED'},{'attributeName':'Avoid Gates','parameterName':'Restriction Usage','value':'AVOID_MEDIUM'},{'attributeName':'Avoid Express Lanes','parameterName':'Restriction Usage','value':'PROHIBITED'},{'attributeName':'Avoid Carpool Roads','parameterName':'Restriction Usage','value':'PROHIBITED'},{'attributeName':'Avoid Truck Restricted Roads','parameterName':'Restriction Usage','value':'AVOID_HIGH'},{'attributeName':'TruckTravelTime','parameterName':'Vehicle Maximum Speed (km/h)','value':0}],'description':'Models basic truck travel by preferring designated truck routes, and finds solutions that optimize travel time. Routes must obey one-way roads, avoid illegal turns, and so on. When you specify a start time, dynamic travel speeds based on traffic are used where it is available, up to the legal truck speed limit.','distanceAttributeName':'Kilometers','id':'ZzzRtYcPLjXFBKwr','impedanceAttributeName':'TruckTravelTime','name':'Trucking Time','restrictionAttributeNames':['Avoid Carpool Roads','Avoid Express Lanes','Avoid Gates','Avoid Private Roads','Avoid Truck Restricted Roads','Avoid Unpaved Roads','Driving a Truck','Roads Under Construction Prohibited','Use Preferred Truck Routes'],'simplificationTolerance':10,'simplificationToleranceUnits':'esriMeters','timeAttributeName':'TruckTravelTime','type':'TRUCK','useHierarchy':true,'uturnAtJunctions':'esriNFSBNoBacktrack'}" \
-d "populate_directions=true" \
-d "directions_language=en" \
-d "populate_route_lines=false" \
-d "default_date=1608051600000"

Run in Postman

Response (JSON)

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{
  "jobId": "jfd7f78c3a9174d0ba0933c022b38a37e",
  "jobStatus": "esriJobSubmitted"
}

Request

cURL

HTTP

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curl https://logistics.arcgis.com/arcgis/rest/services/World/VehicleRoutingProblem/GPServer/SolveVehicleRoutingProblem/jobs/jfd7f78c3a9174d0ba0933c022b38a37e? \
-d "f=json" \
-d "token=<ACCESS_TOKEN>"

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Response (JSON)

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{
  "jobId": "jfd7f78c3a9174d0ba0933c022b38a37e",
  "jobStatus": "esriJobSucceeded",
  "results": {
    "out_unassigned_stops": {
      "paramUrl": "results/out_unassigned_stops"
    },
    "out_stops": {
      "paramUrl": "results/out_stops"
    },
    "out_routes": {
      "paramUrl": "results/out_routes"
    },
    "out_directions": {
      "paramUrl": "results/out_directions"
    },
    "solve_succeeded": {
      "paramUrl": "results/solve_succeeded"
    },
    "out_network_analysis_layer": {
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Request

cURL

HTTP

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curl https://logistics.arcgis.com/arcgis/rest/services/World/VehicleRoutingProblem/GPServer/SolveVehicleRoutingProblem/jobs/jfd7f78c3a9174d0ba0933c022b38a37e/results/out_routes? \
-d "f=json" \
-d "token=<ACCESS_TOKEN>"

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Response (JSON)

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{
  "paramName": "out_routes",
  "dataType": "GPFeatureRecordSetLayer",
  "value": {
    "displayFieldName": "",
    "geometryType": "esriGeometryPolyline",
    "spatialReference": {
      "wkid": 4326,
      "latestWkid": 4326
    },
    "fields": [
      {
        "name": "ObjectID",
        "type": "esriFieldTypeOID",
        "alias": "ObjectID"
      },
      {
        "name": "Name",
        "type": "esriFieldTypeString",
        "alias": "Name",
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Request

cURL

HTTP

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curl https://logistics.arcgis.com/arcgis/rest/services/World/VehicleRoutingProblem/GPServer/SolveVehicleRoutingProblem/jobs/jfd7f78c3a9174d0ba0933c022b38a37e/results/out_directions? \
-d "f=json" \
-d "token=<ACCESS_TOKEN>"

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Response (JSON)

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{
  "paramName": "out_directions",
  "value": {
    "geometryType": "esriGeometryPolyline",
    "spatialReference": {
      "wkid": 4326,
      "latestWkid": 4326
    },
    "fields": [
     // One or more field definitions
    ],
    "features": [
      {
        "attributes": {
          "RouteName": "Truck_1",
          "ArriveTime": 1608048000000,
          "Text": "Start at San Francisco",
          "ElapsedTime": 60,
          "DriveDistance": 0
          // more field values
        }
      },
      {
        "attributes": {
          "RouteName": "Truck_1",
          "ArriveTime": 1608048000000,
          "Text": "Time Window: 12/15/2020 4:00 PM - 12/16/2020 1:00 AM",
          "ElapsedTime": 60,
          "DriveDistance": 0
          // more field values
        }
      },
      {
        "attributes": {
          "RouteName": "Truck_1",
          "ArriveTime": 1608048000000,
          "Text": "Service Time: 1 hour",
          "ElapsedTime": 60,
          "DriveDistance": 0
          // more field values
        }
      },
      {
        "attributes": {
          "RouteName": "Truck_1",
          "ArriveTime": 1608051599999,
          "Text": "Go northwest on The Embarcadero (World Trade Ctr) toward Pier 1",
          "ElapsedTime": 0.25894445180892944,
          "DriveDistance": 0.046282608062028885
          // more field values
        },
        "geometry": {
          "paths": [
            [
              [
                -122.39477568799998,
                37.796252294000055
              ]
              // additional points that make up the path geometry
            ]
          ]
        }
      },
      // additional driving directions for route Truck_1
      {
        "attributes": {
          "RouteName": "Truck_2",
          "ArriveTime": 1608048000000,
          "Text": "Start at San Francisco",
          "ElapsedTime": 60,
          "DriveDistance": 0
          // more field values
        }
      },
      // additional driving directions for route Truck_2
      {
        "attributes": {
          "RouteName": "Truck_3",
          "ArriveTime": 1608048000000,
          "Text": "Start at San Francisco",
          "ElapsedTime": 60,
          "DriveDistance": 0
          // more field values
        }
      }
      // additional driving directions for route Truck_3
    ],
    "exceededTransferLimit": false
  }
}

See full response