ON-DEMAND TRANSPORT SYSTEM FACILITATING THIRD-PARTY AUTONOMOUS VEHICLES

• US 20190325546A1
• Filed: 04/19/2019
• Published: 10/24/2019
• Est. Priority Date: 04/20/2018
• Status: Abandoned Application

• Current Assignee: Uber Technologies, Inc.
• Original Assignee: Uber Technologies, Inc.
• Inventors: Hagestad, Leigh, Goldman, Brent, Yen, Mark, Voznesensky, Michael
• Application Number:
  US16/389,794
• Publication Number:
  US 20190325546A1
• Time in Patent Office: Days
• CPC Class Codes: G05D 1/0212 with means for defining a desired trajectory involving a plurality of land vehicles G05D1/0287
• CPC Class Codes: G05D 1/0276 using signals provided by a source external to the vehicle involving a plurality of vehicles G05D1/0287; automatically controlling vehicle speed responsive to externally generated signals B60K31/0058
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083
• CPC Class Codes: G08G 1/202 Dispatching vehicles on the basis of a location, e.g. taxi dispatching

Abstract

A network computing system can coordinate an on-demand transport service utilized by internal autonomous vehicles (AVs), third-party AVs, and human-driven vehicles. The system can receive transport requests from requesting users, where each transport request can indicate a pick-up location and a destination. The system can determine a plurality of candidate transport providers to service the respective transport request, in which the plurality of candidate transport providers can comprise at least one third-party AV. The system can determine a capability of the at least one third-party AV in servicing the respective transport request, and, based at least in part on the capability of the at least one third-party AV, select a transport provider from the plurality of transport providers to service the transport request.

Claims

1. A network computing system comprising:

a communication interface communicating with computing devices of requesting users and transport providers throughout a transport service region;

one or more processors; and

one or more memory resources storing instructions that, when executed by the one or more processors, cause the network computing system to;

coordinate an on-demand transport service utilized by internal autonomous vehicles (AVs), third-party AVs, and human-driven vehicles;

receive, via the communication interface, transport requests from requesting users throughout the transport service region, each respective transport request from each requesting user indicating a pick-up location and a destination;

determine a plurality of candidate transport providers to service the respective transport request, the plurality of candidate transport providers comprising at least one third-party AV;

determine a capability of the at least one third-party AV in servicing the respective transport request; and

based at least in part on the capability of the at least one third-party AV, select a transport provider from the plurality of transport providers to service the respective transport request.

2. The network computing system of claim 1, wherein the executed instructions cause the network computing system to determine the plurality of candidate transport providers based on at least one of distance to the pick-up location or an estimated time of arrival to the pick-up location.

3. The network computing system of claim 1, wherein the executed instructions cause the network computing system to determine the capability of the at least one third-party AV by transmitting a capability query to the at least one third-party AV and receiving a capability response from each of the at least one third-party AV.

4. The network computing system of claim 3, where the capability response indicates an estimated time of completion for servicing the respective transport request.

5. The network computing system of claim 3, wherein the capability response indicates a proposed route for servicing the respective transport request.

6. The network computing system of claim 1, wherein the executed instructions cause the network computing system to determine the capability of the at least one third-party AV by transmitting a capability query to a third-party system that manages the at least one third-party AV.

7. The network computing system of claim 1, wherein the executed instructions further cause the network computing system to:

receive, from one or more third-party systems that manage the third-party AVs, third-party information indicating general capabilities of the third-party AVs;

wherein the executed instructions cause the network computing system to determine the capability of the at least one third-party AV based at least in part on the third-party information corresponding to the at least one third-party AV.

8. The network computing system of claim 1, wherein the executed instructions cause the network computing system to determine the capability of by sequentially transmitting a capability query to each internal AV and third-party AV of the plurality of candidate transport providers.

9. The network computing system of claim 1, wherein the executed instructions further cause the network computing system to:

determine a capability of each internal AV of the plurality of candidate transport providers;

wherein the executed instructions cause the network computing system to further select the selected transport provider based the capability of each internal AV of the plurality of candidate transport providers.

10. The network computing system of claim 9, wherein the executed instructions further cause the network computing system to:

based on the capability of each internal AV and each third-party AV, filter the plurality of candidate transport providers to generate a filtered set of transport providers; and

rank the filtered set of transport providers based on a set of value parameters;

wherein the executed instructions cause the network computing system to select the selected transport provider from the ranked and filtered set of transport providers.

11. A non-transitory computer readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to:

coordinate an on-demand transport service utilized by internal autonomous vehicles (AVs), third-party AVs, and human-driven vehicles;

receive, via a communication interface, transport requests from requesting users throughout the transport service region, each respective transport request from each requesting user indicating a pick-up location and a destination;

determine a plurality of candidate transport providers to service the respective transport request, the plurality of candidate transport providers comprising at least one third-party AV;

determine a capability of the at least one third-party AV in servicing the respective transport request; and

based at least in part on the capability of the at least one third-party AV, select a transport provider from the plurality of transport providers to service the respective transport request.

12. The non-transitory computer readable medium of claim 11, wherein the executed instructions cause the one or more processors to determine the plurality of candidate transport providers based on at least one of distance to the pick-up location or an estimated time of arrival to the pick-up location.

13. The non-transitory computer readable medium of claim 11, wherein the executed instructions cause the one or more processors to determine the capability of the at least one third-party AV by transmitting a capability query to the at least one third-party AV and receiving a capability response from each of the at least one third-party AV.

14. The non-transitory computer readable medium of claim 13, where the capability response indicates an estimated time of completion for servicing the respective transport request.

15. The non-transitory computer readable medium of claim 13, wherein the capability response indicates a proposed route for servicing the respective transport request.

16. The non-transitory computer readable medium of claim 11, wherein the executed instructions cause the one or more processors to determine the capability of the at least one third-party AV by transmitting a capability query to a third-party system that manages the at least one third-party AV.

17. The non-transitory computer readable medium of claim 11, wherein the executed instructions further cause the one or more processors to:

receive, from one or more third-party systems that manage the third-party AVs, on-board routing information indicating routing capabilities of the third-party AVs;

wherein the executed instructions cause the one or more processors to determine the capability of the at least one third-party AV based on the on-board routing information corresponding to the at least one third-party AV.

18. The non-transitory computer readable medium of claim 11, wherein the executed instructions cause the one or more processors to determine the capability of by sequentially transmitting a capability query to each internal AV and third-party AV of the plurality of candidate transport providers.

19. The non-transitory computer readable medium of claim 11, wherein the executed instructions further cause the one or more processors to:

determine a capability of each internal AV of the plurality of candidate transport providers;

wherein the executed instructions cause the one or more processors to further select the selected transport provider based the capability of each internal AV of the plurality of candidate transport providers.

20. A computer-implemented method for coordinating transport, the method being performed by one or more processors and comprising:

coordinating an on-demand transport service utilized by internal autonomous vehicles (AVs), third-party AVs, and human-driven vehicles;

receiving, via a communication interface, transport requests from requesting users throughout the transport service region, each respective transport request from each requesting user indicating a pick-up location and a destination;

determining a plurality of candidate transport providers to service the respective transport request, the plurality of candidate transport providers comprising at least one third-party AV;

determining a capability of the at least one third-party AV in servicing the respective transport request; and

based at least in part on the capability of the at least one third-party AV, selecting a transport provider from the plurality of transport providers to service the respective transport request.