Predictive vehicle task scheduling

• US 10,094,674 B2
• Filed: 02/16/2016
• Issued: 10/09/2018
• Est. Priority Date: 02/16/2016
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Tseng, Fling Finn, D'Amato, Anthony Mario, Michelini, John Ottavio, Makki, Imad Hassan
• Primary Examiner(s): Anwari, Maceeh
• Application Number:
  US15/044,206
• Publication Number:
  US 20170234687A1
• Time in Patent Office: 966 Days
• Field of Search: 701461
• CPC Class Codes: G01C 21/34 Route searching; Route guidance
• CPC Class Codes: G01C 21/3484 Personalized, e.g. from learned user behaviour or user-defined profiles
• CPC Class Codes: G01C 21/3617 using user history, behaviour, conditions or preferences, e.g. predicted or inferred from previous use or current movement
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C

Abstract

A vehicle system includes a processor having a memory. The processor is programmed to predict a vehicle key-on time based on a next destination of a vehicle. The processor is further programmed to request, at a predetermined amount of time before the key-on time, optimization data from a remote server.

Claims

1. A vehicle system comprising:

a processor having a memory, wherein the processor is programmed to;

predict a vehicle key-on time based on a next destination of a vehicle; and

request, at a predetermined amount of time before the key-on time, optimization data from a remote server,

wherein the optimization data from the remote server includes traffic information and route planning information for a route to the next destination, and

wherein the predetermined amount of time before the key-on time is based at least in part on an amount of time to receive and process the optimization data from the remote server.

2. The vehicle system of claim 1, wherein the processor is programmed to predict the vehicle key-on time by:

identifying a plurality of potential destinations;

determining a likelihood of each of the plurality of potential destinations being the next destination;

ranking the plurality of potential destinations according to the likelihood of being the next destination, including assigning a highest ranking to one of the plurality of potential destinations that is most likely to be the next destination; and

selecting the vehicle key-on time based on a temporal attribute associated with the potential destination having the highest ranking.

3. The vehicle system of claim 2, wherein the processor is programmed to query a database for the temporal attribute associated with the potential destination having the highest ranking.

4. The vehicle system of claim 3, wherein the temporal attribute includes a time at which the vehicle is predicted to travel to the potential destination having the highest ranking.

5. The vehicle system of claim 3, wherein the processor is programmed to schedule the request for the optimization data in accordance with the temporal attribute associated with the potential destination having the highest ranking.

6. The vehicle system of claim 1, wherein the processor is programmed to request confirmation of the vehicle key-on time.

7. The vehicle system of claim 1, wherein the processor is programmed to request confirmation of the next destination.

8. The vehicle system of claim 1, wherein the processor is programmed to periodically request updated optimization data from the remote server.

9. The vehicle system of claim 1, wherein the predetermined amount of time before the vehicle key-on time is based at least in part on an amount of time associated with receiving the optimization data requested from the remote server.

10. The vehicle system of claim 1, wherein the predetermined amount of time before the vehicle key-on time is based at least in part on an amount of time associated with processing the optimization data requested from the remote server.

11. A vehicle system comprising:

communication circuitry programmed to wirelessly communicate with a remote server; and

a processor having a memory, wherein the processor is programmed to;

predict a vehicle key-on time based on a next destination of a vehicle, and

request, at a predetermined amount of time before the key-on time, optimization data from the remote server;

wherein the communication circuity is programmed to transmit the request to the remote server, receive the optimization data from the remote server, and transmit the optimization data to the processor,

wherein the optimization data from the remote server includes traffic information and route planning information for a route to the next destination, and

wherein the predetermined amount of time before the key-on time is based at least in part on an amount of time to receive and process the optimization data from the remote server.

12. The vehicle system of claim 11, wherein the processor is programmed to predict the vehicle key-on time by:

identifying a plurality of potential destinations;

determining a likelihood of each of the plurality of potential destinations being the next destination;

ranking the plurality of potential destinations according to the likelihood of being the next destination, including assigning a highest ranking to one of the plurality of potential destinations that is most likely to be the next destination; and

selecting the vehicle key-on time based on a temporal attribute associated with the potential destination having the highest ranking.

13. The vehicle system of claim 12, wherein the processor is programmed to query a database for the temporal attribute associated with the potential destination having the highest ranking.

14. The vehicle system of claim 13, wherein the temporal attribute includes a time at which the vehicle is predicted to travel to the potential destination having the highest ranking.

15. The vehicle system of claim 13, wherein the processor is programmed to schedule the request for the optimization data in accordance with the temporal attribute associated with the potential destination having the highest ranking.

16. The vehicle system of claim 11, wherein the processor is programmed to request confirmation of the vehicle key-on time.

17. The vehicle system of claim 11, further comprising a user interface and wherein the processor is programmed to request confirmation of the next destination via the user interface.

18. The vehicle system of claim 11, wherein the processor is programmed to periodically request updated optimization data from the remote server and wherein the communication circuitry is programmed to transmit the request for updated optimization data to the remote server.

19. The vehicle system of claim 11, wherein the predetermined amount of time before the vehicle key-on time is based at least in part on an amount of time associated with receiving the optimization data requested from the remote server.

20. The vehicle system of claim 11, wherein the predetermined amount of time before the vehicle key-on time is based at least in part on an amount of time associated with processing the optimization data requested from the remote server.