Abstract: Systems and methods for dispatching a fleet of vehicles includes determining a total time expectation for a trip for a vehicle. The total time expectation includes a service time expectation that is different from a travel time for the first trip. The method also includes receiving one or more requests for a new trip and determining, based at least in part on the total time expectation for the trip, whether to assign the new trip to the vehicle. In some embodiments, the service time expectation is determined based on historical data or a user preference. In some embodiments, the service time expectation is generated by a model that is trained using historical data.

Abstract: A method includes, for a plurality of vehicles in a fleet of vehicles, receiving respective capacities for each of the plurality of vehicles. The respective capacity for each vehicle includes two or more capacity values, and each capacity value corresponds to a distinct capacity type. The method also includes receiving a request to complete a task that includes transporting a resource from an origin to a destination. The method further includes, in response to receiving the request, determining a capacity cost of the resource for each of the capacity types, selecting a vehicle of the fleet of vehicles to complete the task, and routing the vehicle based on the origin and destination of the task. Selecting the vehicle to complete the task includes determining whether the vehicle has enough capacity, for each of the capacity types, to transport the resource. A method of sourcing inventory is also described herein.

Abstract: A method is performed at a system hosting a first dispatching service. The method includes receiving historical information that includes information for a plurality of trips made by a fleet of vehicles. The plurality of trips were dispatched by a second dispatching service, and the information includes an actual time of arrival for each of the plurality of trips. The method also includes, for each trip of the plurality of trips: predicting an estimated time of arrival using services provided by the first dispatching service and computing a difference between the estimated time of arrival and the actual time of arrival for the trip. The method further includes generating a statistical model based on the computed differences, receiving a trip request, and dispatching a vehicle for the trip request using the services provided by the first dispatching service and based at least in part on the statistical model.

Abstract: A method includes obtaining historical information for a plurality of past trips that are completed by a fleet of vehicles. The historical information includes request times, origins, and destinations corresponding to the plurality of past trips completed by the fleet of vehicles. The method also includes generating a scenario based on the historical information, and performing a simulation based on the scenario. The simulation includes applying a first dispatching service and a first routing service to the scenario. The method further includes using the simulation to compare the first dispatching service to a second dispatching service and providing the comparison to a user.

Abstract: Systems and methods for generating a composite map are provided. In one aspect, a method is provided that includes identifying a first node and a source node on a first map. The method further includes determining a candidate source node on a second map that corresponds to the source node on the first map. The method further includes determining a plurality of candidate nodes on the second map that potentially correspond to the first node and selecting a respective candidate node from the plurality of candidate nodes based on a similarity of a routing distance between: the respective candidate node and the candidate source node on the second map and the first node and the source node on the first map. The method may also include connecting the selected respective candidate node and the first node and combining the first map and the second map into a composite map.

Abstract: Systems and methods for generating a composite map are provided. In one aspect, a method is provided that includes identifying a first node and a source node on a first map. The method further includes determining a candidate source node on a second map that corresponds to the source node on the first map. The method further includes determining a plurality of candidate nodes on the second map that potentially correspond to the first node and selecting a respective candidate node from the plurality of candidate nodes based on a similarity of a routing distance between: the respective candidate node and the candidate source node on the second map and the first node and the source node on the first map. The method may also include connecting the selected respective candidate node and the first node and combining the first map and the second map into a composite map.