Non-trip risk matching and routing for on-demand transportation services
AssigneeUber Technologies, Inc.
InventorsDima Kislovskiy, David McAllister Bradley
Life of this patent
Estimating the term…
Abstract
An on-demand transportation management system can receive transport requests in connection with an on-demand transportation service, each transport request indicating a start location and a destination. The system can determine a set of candidate vehicles to service each transport request, and can further determine a non-trip risk value for servicing the transport request. The system may then select an optimal vehicle in the set of candidate vehicles based at least in part on the non-trip risk value.
Claims22
An on-demand transportation management system comprising:
- one or more processors;
- and
- one or more memory resources storing instructions that, when executed by the one or more processors, cause the on-demand transportation management system to perform operations comprising:
- receiving a transport request in connection with an on-demand transportation service, the transport request indicating a start location and a destination;
- determining a set of candidate vehicles available to service the transport request, wherein the set of candidate vehicles comprises one or more autonomous vehicles;
- determining a non-trip risk value for servicing the transport request based at least in part on a type of the start location or a type of the destination, wherein the non-trip risk value is indicative of an impact that the type of the start location or the type of the destination has on the autonomous performance of an autonomous vehicle of the one or more autonomous vehicles;
- selecting an optimal vehicle in the set of candidate vehicles based at least in part on the non-trip risk value;
- and
- outputting data instructing the optimal vehicle to service the transport request, the data indicating at least the start location associated with the transport request, wherein the optimal vehicle is an autonomous vehicle configured to autonomously travel to the start location associated with the transport request.
A non-transitory computer readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
- receiving a transport request in connection with an on-demand transportation service, the transport request indicating a start location and a destination;
- determining a set of candidate vehicles available to service the transport request, wherein the set of candidate vehicles comprises one or more autonomous vehicles;
- determining a non-trip risk value for servicing the transport request based at least in part on a type of the start location or a type of the destination, wherein the non-trip risk value is indicative of an impact that the type of the start location or the type of the destination has on the autonomous performance of an autonomous vehicle of the one or more autonomous vehicles;
- selecting an optimal vehicle in the set of candidate vehicles based at least in part on the non-trip risk value;
- and
- outputting data instructing the optimal vehicle to service the transport request, the data indicating at least the start location associated with the transport request, wherein the optimal vehicle is an autonomous vehicle configured to autonomously travel to the start location associated with the transport request.
A computer-implemented method of facilitating an on-demand transportation service, the method being performed by one or more processors and comprising:
- receiving a transport request in connection with an on-demand transportation service, the transport request indicating a start location and a destination;
- determining a set of candidate vehicles available to service the transport request, wherein the set of candidate vehicles comprises one or more autonomous vehicles;
- determining a non-trip risk value for servicing the transport request based at least in part on a type of the start location or a type of the destination, wherein the non-trip risk value is indicative of an impact that the type of the start location or the type of the destination has on the autonomous performance of an autonomous vehicle of the one or more autonomous vehicles;
- selecting an optimal vehicle in the set of candidate vehicles based at least in part on the non-trip risk value;
- and
- outputting data instructing the optimal vehicle to service the transport request, the data indicating at least the start location associated with the transport request, wherein the optimal vehicle is an autonomous vehicle configured to autonomously travel to the start location associated with the transport request.
Dependencies are inferred from the claim text.