Predictive vehicle task scheduling

Patent metadata

Field	Value
Publication number	US-2017234687-A1
Application number	US-201615044206-A
Country	US
Kind code	A1
Filing date	Feb 16, 2016
Priority date	Feb 16, 2016
Publication date	Aug 17, 2017
Grant date	—

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.

First claim

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.

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.

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.

Assignees

• Ford Global Tech Llc

Inventors

• Tseng Fling Finn
• D'Amato Anthony Mario
• Michelini John Ottavio
• Makki Imad Hassan

Classifications

• G01C21/3617 Primary

  using user history, behaviour, conditions or preferences, e.g. predicted or inferred from previous use or current movement · CPC title

• G01C21/34 Primary

  Route searching; Route guidance · CPC title

• G06Q10/109

  Time management, e.g. calendars, reminders, meetings or time accounting · 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

• G01C21/3484 Primary

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