Selecting vehicle type for providing transport

Patent metadata

Field	Value
Publication number	US-10037553-B2
Application number	US-201715849432-A
Country	US
Kind code	B2
Filing date	Dec 20, 2017
Priority date	May 13, 2015
Publication date	Jul 31, 2018
Grant date	Jul 31, 2018

Abstract

A transport arrangement system operates to receive a transport request from a user, and to make a selection of a vehicle type for the user based at least in part on a set of criteria associated with the transport request or user information. For example, the determination of whether an autonomous vehicle is to be provided can be based at least in part on the destination specified with the transport request.

First claim

What is claimed is:

1. A system for arranging transport, the system comprising:
a memory that stores a set of instructions;
one or more processors which use the set of instructions to:
receive a transport request from a user, the transport request including a service location;
identify a plurality of vehicles for fulfilling the transport request;
determine whether the transport request will be fulfilled using an autonomous vehicle from the plurality of vehicles, wherein whether the transport request will be fulfilled using the autonomous vehicle is based at least in part on an evaluation of information specified with the transport request against one or more autonomous vehicle rules; and
cause the autonomous vehicle to navigate to the service location.

2. The system of claim 1 , wherein the plurality of vehicles is identified based at least in part by:
identifying one or more available vehicles out of a plurality of human-driven vehicles and autonomous vehicles; and
comparing the identified one or more available vehicles against routing information comprising the service location.

3. The system of claim 2 , wherein the routing information comprises a drop-off location specified with the transport request.

4. The system of claim 1 , wherein the evaluation of the information specified with the transport request comprises a determination of whether an autonomous vehicle from the plurality of vehicles satisfies the one or more autonomous vehicle rules.

5. The system of claim 1 , wherein the one or more autonomous vehicle rules comprise at least one selection rule defined based on one or more limitations in the autonomous vehicle's ability to navigate an environment or setting.

6. The system of claim 5 , wherein:
the information specified with the transport request comprises a service location, a drop-off location, and a time of day for the transport request; and
the at least one selection rule comprises:
a first selection rule defining an ability of the autonomous vehicle to operate proximate to the service location as a function of the autonomous vehicle's ability to navigate an environment or setting proximate to the service location;
a second selection rule defining an ability of the autonomous vehicle to operate proximate to the drop-off location as a function of the autonomous vehicle's ability to navigate an environment or setting proximate to the drop-off location; or
a third selection rule defining an ability of the autonomous vehicle to operate during the time of day for the transport request as a function of the autonomous vehicle's ability to navigate environments or settings during the time of day for the transport request.

7. The system of claim 1 , wherein the one or more processors use the set of instructions to determine whether to fulfill the transport request will be fulfilled using the autonomous vehicle from the plurality of vehicles by determining that the transport request will be fulfilled using a human-driven vehicle in response to determining that the transport request will not be fulfilled using the autonomous vehicle.

8. The system of claim 1 , wherein the autonomous vehicle is an experimental or prototypical autonomous vehicle.

9. The system of claim 1 , wherein the autonomous vehicle is dedicated to operating in an autonomous mode.

10. The system of claim 1 , wherein the autonomous vehicle is configured to receive input from a human operator.

11. The system of claim 10 , wherein the input from the human operator comprises a brake, slow down, or stop action.

12. The system of claim 1 , wherein the one or more processors use the set of instructions to communicate, to the user, that the transport request will be fulfilled using the autonomous vehicle in response to a determination that the transport request will be fulfilled using the autonomous vehicle.

13. The system of claim 1 , further comprising providing the user an opportunity to alter or overrule an assignment of the transport request to an autonomous vehicle.

14. The system of claim 1 , wherein the transport request does not specify a preference for autonomous vehicles or human-driven vehicles.

15. The system of claim 1 , wherein the transport request is received from a mobile computing device associated with the user.

16. The system of claim 1 , wherein the one or more processors use the set of instructions to evaluate the information specified with the transport request against the one or more autonomous vehicle rules.

17. The system of claim 1 , wherein whether to fulfill the transport request using the autonomous vehicle is determined in response to receiving the transport request.

18. The system of claim 1 , wherein the system includes an autonomous vehicle system that operates within the autonomous vehicle.

19. The system of claim 1 , wherein the system includes one or more servers that communicate with the autonomous vehicle.

20. A method for arranging transport, the method being implemented by one or more processors and comprising:
receiving a transport request from a user, the transport request including a service location;
identifying a plurality of vehicles for fulfilling the transport request;
determining whether the transport request will be fulfilled using an autonomous vehicle from the plurality of vehicles, wherein whether the transport request will be fulfilled using the autonomous vehicle is based at least in part on an evaluation of information specified with the transport request against one or more autonomous vehicle rules; and
causing the autonomous vehicle to navigate to the service location.

21. The method of claim 20 , wherein identifying the plurality of vehicles includes:
identifying one or more available vehicles out of a plurality of human-driven vehicles and autonomous vehicles; and
comparing the identified one or more available vehicles against routing information comprising the service location.

22. A non-transitory computer-readable medium that stores instructions, which when executed by one or more processors of a computer system, cause the computer system to perform operations that comprise:
receiving a transport request from a mobile computing device of a user, the transport request including a service location;
identifying a plurality of vehicles for fulfilling the transport request; and
determining whether the transport request will be fulfilled using a vehicle of the plurality of vehicles that is dedicated to operate in an autonomous mode, wherein whether the transport request will be fulfilled using the vehicle is based at least in part on an evaluation of information specified with the transport request against one or more autonomous vehicle rules; and
causing the vehicle to navigate to the service location.

23. The non-transitory computer-readable medium of claim 22 , wherein the plurality of vehicles is identified based at least in part by:
identifying one or more available vehicles out of a plurality of human-driven vehicles and autonomous vehicles; and
comparing the identified one or more available vehicles against routing information comprising the service location.

24. The non-transitory computer-readable medium of claim 22 , wherein the autonomous vehicle is an experimental or prototypical autonomous vehicle.

25. The non-transitory computer-readable medium of claim 22 , wherein the transport request does not specify a preference for autonomous vehicles or hu

Assignees

• Uber Technologies Inc

Inventors

• Ross William
• Bares John
• Larose David
• Sweeney Matthew

Classifications

• G01C21/3492

  employing speed data or traffic data, e.g. real-time or historical (traffic control systems for road vehicles involving transmission of navigation instructions to the vehicle G08G1/0968) · CPC title

• G06Q10/08

  Logistics, e.g. warehousing, loading or distribution; Inventory or stock management · CPC title

• G06Q30/0283 Primary

  Price estimation or determination · CPC title

• G01C21/3484

  Personalized, e.g. from learned user behaviour or user-defined profiles · CPC title

• G01C21/3438

  Rendezvous; Ride sharing · CPC title