此示例展示了如何使用费用参数来获取经济实惠的路线。
如需查看完整的概念性概览,请参阅费用模型关键概念文档。
示例请求
以下示例展示了一个场景,其中一辆车必须运送三批货物。车辆具有与时间和距离相关的费用,并且每批货物都有一个penaltyCost,如果跳过该批货物,则会产生该费用。
此示例请求包含以下与费用相关的参数:
shipments[0],penaltyCost为 100.0。shipments[1],penaltyCost为 5.0。shipments[2],penaltyCost为 50.0。vehicles[0],其costPerHour为 40.0,costPerKilometer为 10.0。
查看包含费用的示例请求
{ "model": { "globalStartTime": "2023-01-13T16:00:00-08:00", "globalEndTime": "2023-01-14T16:00:00-08:00", "shipments": [ { "deliveries": [ { "arrivalLocation": { "latitude": 37.789456, "longitude": -122.390192 }, "duration": "250s" } ], "pickups": [ { "arrivalLocation": { "latitude": 37.794465, "longitude": -122.394839 }, "duration": "150s" } ], "penaltyCost": 100.0 }, { "deliveries": [ { "arrivalLocation": { "latitude": 37.789116, "longitude": -122.395080 }, "duration": "250s" } ], "pickups": [ { "arrivalLocation": { "latitude": 37.794465, "longitude": -122.394839 }, "duration": "150s" } ], "penaltyCost": 5.0 }, { "deliveries": [ { "arrivalLocation": { "latitude": 37.795242, "longitude": -122.399347 }, "duration": "250s" } ], "pickups": [ { "arrivalLocation": { "latitude": 37.794465, "longitude": -122.394839 }, "duration": "150s" } ], "penaltyCost": 50.0 } ], "vehicles": [ { "endLocation": { "latitude": 37.794465, "longitude": -122.394839 }, "startLocation": { "latitude": 37.794465, "longitude": -122.394839 }, "costPerHour": 40.0, "costPerKilometer": 10.0 } ] } }
示例响应
响应显示,优化器创建的路线可完成三批货物中的两批。由于第三次配送的 penaltyCost 低于计算出的取货和送货车辆费用,因此系统会跳过该配送。
查看包含费用的示例请求的响应
{ "routes": [ { "vehicleStartTime": "2023-01-14T00:00:00Z", "vehicleEndTime": "2023-01-14T00:28:22Z", "visits": [ { "isPickup": true, "startTime": "2023-01-14T00:00:00Z", "detour": "0s" }, { "shipmentIndex": 2, "isPickup": true, "startTime": "2023-01-14T00:02:30Z", "detour": "150s" }, { "startTime": "2023-01-14T00:08:55Z", "detour": "150s" }, { "shipmentIndex": 2, "startTime": "2023-01-14T00:21:21Z", "detour": "572s" } ], "transitions": [ { "travelDuration": "0s", "waitDuration": "0s", "totalDuration": "0s", "startTime": "2023-01-14T00:00:00Z" }, { "travelDuration": "0s", "waitDuration": "0s", "totalDuration": "0s", "startTime": "2023-01-14T00:02:30Z" }, { "travelDuration": "235s", "travelDistanceMeters": 795, "waitDuration": "0s", "totalDuration": "235s", "startTime": "2023-01-14T00:05:00Z" }, { "travelDuration": "496s", "travelDistanceMeters": 1893, "waitDuration": "0s", "totalDuration": "496s", "startTime": "2023-01-14T00:13:05Z" }, { "travelDuration": "171s", "travelDistanceMeters": 665, "waitDuration": "0s", "totalDuration": "171s", "startTime": "2023-01-14T00:25:31Z" } ], "metrics": { "performedShipmentCount": 2, "travelDuration": "902s", "waitDuration": "0s", "delayDuration": "0s", "breakDuration": "0s", "visitDuration": "800s", "totalDuration": "1702s", "travelDistanceMeters": 3353 }, "routeCosts": { "model.vehicles.cost_per_kilometer": 33.53, "model.vehicles.cost_per_hour": 18.911111111111111 }, "routeTotalCost": 52.441111111111113 } ], "skippedShipments": [ { "index": 1 } ], "metrics": { "aggregatedRouteMetrics": { "performedShipmentCount": 2, "travelDuration": "902s", "waitDuration": "0s", "delayDuration": "0s", "breakDuration": "0s", "visitDuration": "800s", "totalDuration": "1702s", "travelDistanceMeters": 3353 }, "usedVehicleCount": 1, "earliestVehicleStartTime": "2023-01-14T00:00:00Z", "latestVehicleEndTime": "2023-01-14T00:28:22Z", "totalCost": 57.441111111111113, "costs": { "model.vehicles.cost_per_kilometer": 33.53, "model.vehicles.cost_per_hour": 18.911111111111111, "model.shipments.penalty_cost": 5 } } }
以下字段显示了响应中费用的计算方式:
routeCosts会细分特定路线的运营成本,在本例中,这些成本包括:model.vehicles.cost_per_kilometer:33.53。model.vehicles.cost_per_hour:18.91。
routeTotalCost(52.44) 是routeCosts中列出的费用的总和。- 在响应的顶层,
costs对象会汇总解决方案中产生的所有费用。这包括所有车辆路线的运营成本以及任何罚款,例如跳过配送的model.shipments.penalty_cost(5.0)。 - 最终的
totalCost(57.44) 表示解决方案的总费用,即所有车辆的routeTotalCost与所有罚款之和。在本例中,该值为 52.44 + 5.0。