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US 10,094,674 B2Granted
Predictive vehicle task scheduling
AssigneeFord Global Technologies, LLC
InventorsFling Finn Tseng, Anthony Mario D'Amato, John Ottavio Michelini, Imad Hassan Makki
Life of this patent
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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.
Claims20
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.
3 more elements
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.
5 more elements
Dependencies are inferred from the claim text.