Selecting vehicle type for providing transport

Patent metadata

Field	Value
Publication number	US-9547309-B2
Application number	US-201514711602-A
Country	US
Kind code	B2
Filing date	May 13, 2015
Priority date	May 13, 2015
Publication date	Jan 17, 2017
Grant date	Jan 17, 2017

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; and
make a selection of a vehicle type for the user based at least in part on a destination specified with the transport request, the selection specifying whether a selected vehicle is an autonomous vehicle.

2. The system of claim 1 , wherein the one or more processors make the selection based at least in part on a preference of the user for the vehicle type.

3. The system of claim 1 , wherein the one or more processors make the selection based at least in part on an added requirement of the user.

4. The system of claim 1 , wherein the one or more processors make the selection by (i) determining one or more routes for the autonomous vehicle to the destination, and (ii) comparing the one or more routes to an optimal route that can be provided by a human driven vehicle.

5. The system of claim 4 , wherein the one or more processors make the selection by:
comparing lowest estimated time of arrival for the autonomous vehicle with a lowest estimated time of arrival for the human driven vehicle.

6. The system of claim 4 , wherein the one or more processors make the selection by:
comparing a distance traveled to the destination for the autonomous vehicle with a distance traveled to the destination for the human driven vehicle.

7. The system of claim 4 , wherein the one or more processors make the selection by:
comparing a road type for a selected route of the autonomous vehicle with a road type for a selected route of the human driven vehicle.

8. The system of claim 4 , wherein the one or more processors make the selection by determining an availability parameter for a second vehicle to lead the autonomous vehicle through at least a portion of a selected route.

9. The system of claim 4 , wherein the one or more processors: determine one of an alternative pickup location or destination for the transport request in order to (i) determine a route that accommodates an ability of the autonomous vehicle, (ii) reduce an estimated time of arrival in using the autonomous vehicle for the transport request, and/or (iii) reduce a distance traveled in using the autonomous vehicle for the transport request.

10. The system of claim 1 , wherein the one or more processors make the selection of the vehicle type by (i) determining a route using the destination, and (ii) predicting whether the autonomous vehicle will need to request assistance on the route.

11. The system of claim 10 , wherein the one or more processor predict whether the autonomous vehicle will need to request assistance based on geographic specific information about a temporal event or condition affecting one or more road segments of the route.

12. The system of claim 1 , wherein the one or more processors make the selection of the vehicle type by (i) determining a route using the destination, and (ii) predicting whether the autonomous vehicle will need to request a human driven vehicle to provide guide assistance.

13. The system of claim 12 , wherein the one or more processors make the selection by calculating a cost for providing the autonomous vehicle as compared to a human driven vehicle.

14. The system of claim 1 , wherein the one or more processors make the selection against a preference of the user, by providing a suggestion in favor of one of the autonomous vehicle or a human driven vehicle.

15. The system of claim 14 , wherein the suggestion is based on a comparison of one or more of a cost or time of trip for the autonomous vehicle and the human driven vehicle.

16. A non-transitory computer-readable medium that stores instructions, which when executed by one or more processors, cause the one or more processors to perform operations comprising:
receiving a transport request from a user; and
making a selection of a vehicle type for the user based at least in part on a destination specified with the transport request, the selection specifying whether a selected vehicle is an autonomous vehicle.

17. The non-transitory computer-readable medium of claim 16 , wherein making the selection is based at least in part on a preference of the user for the vehicle type.

18. The non-transitory computer-readable medium of 16 , wherein making the selection is based at least in part on an added requirement of the user.

19. The non-transitory computer-readable medium of 16 , wherein making the selection includes (i) determining one or more routes for the autonomous vehicle to the destination, and (ii) comparing the one or more routes to an optimal route that can be provided by a human driven 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; and
making a selection of a vehicle type for the user based at least in part on a destination specified with the transport request, the selection specifying whether a selected vehicle is an autonomous vehicle.

Assignees

• Uber Technologies Inc

Inventors

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

Classifications

• G08G1/20

  Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles · CPC title

• G01C21/3438

  Rendezvous; Ride sharing · CPC title

• G01C21/3484

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

• 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

• G06Q30/0283 Primary

  Price estimation or determination · CPC title