Fuel cost predictor system

• US 20090005974A1
• Filed: 06/29/2007
• Published: 01/01/2009
• Est. Priority Date: 06/29/2007
• Status: Abandoned Application

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations Incorporated (Motors Liquidation Co. GUC Trust)
• Inventors: Szczerba, Joseph F., Lenneman, John K., Barley, William C., Seder, Thomas A., Mathieu, Roy J.
• Application Number:
  US11/770,927
• Publication Number:
  US 20090005974A1
• Time in Patent Office: Days
• US Class Current: 701/209
• CPC Class Codes: G01C 21/3469 Fuel consumption; Energy use; Emission aspects

Abstract

A vehicle navigation system that provides one or more route choices based on various factors that will reduce travel cost, particularly fuel cost. A fuel cost predictor algorithm weights the various factors to determine the most cost effective route. The factors can include anything that affects fuel and/or vehicle costs, such as distance traveled, driving conditions, such as temperature, snow, ice, etc., fuel prices along the route, terrain, vehicle diagnostics, traffic congestion, driver operating behavior, desired arrival time, rare traffic events, average speed, etc.

Claims

1. A vehicle navigation system comprising:

a plurality of data sources that provide information about conditions along routes from a current vehicle position to a destination; and

a cost predictor algorithm processor that receives the information from the plurality of data sources, and provides one or more routes for a vehicle operator to choose from that are determined based on cost savings.

2. The system according to claim 1 wherein the cost savings are fuel cost savings.

3. The system according to claim 1 wherein the plurality of data sources include broadcasts that are received by the vehicle.

4. The system according to claim 1 wherein the one or more routes are displayed on a display and are identified by cost.

5. The system according to claim 1 wherein one of the plurality of data sources provides information of driving conditions including temperature, road wetness and altitude.

6. The system according to claim 1 wherein one of the plurality of data sources provides fuel prices along the routes.

7. The system according to claim 1 wherein one of the plurality of data sources provides terrain conditions along the routes.

8. The system according to claim 1 wherein one of the plurality of data sources provides real time and/or historic traffic information along the routes.

9. The system according to claim 1 wherein one of the plurality of data sources considers a predicted average speed along the routes.

10. The system according to claim 1 wherein one of the plurality of data sources provides a desired arrival time at the destination.

11. The system according to claim 1 wherein one of the plurality of data sources provides information on rare traffic events.

12. The system according to claim 11 wherein the rare traffic event information includes time of the traffic event, duration of the traffic event and magnitude of the traffic event.

13. The system according to claim 1 wherein one of the plurality of data sources provides information concerning vehicular diagnostics.

14. The system according to claim 1 wherein one of the plurality of data sources considers driver behavior.

15. A vehicle navigation system comprising:

a data source that provides information about fuel prices along several routes from a current vehicle position to a destination; and

a fuel cost predictor algorithm processor that receives the information from the data source, and provides one or more routes for a vehicle operator to choose from that are determined based on cost savings.

16. The system according to claim 15 further comprising a display, wherein the routes are displayed on the display and are identified by the fuel cost for the route.

17. The system according to claim 15 wherein the data source is the internet.

18. A vehicle navigation system comprising:

a driving condition data source that provides weather conditions along one or more routes from a current vehicle position to a destination;

a fuel price data source that provides fuel prices along the routes;

a terrain data source that provides terrain information along the routes;

a traffic information data source that provides traffic flow information along the routes; and

a cost predictor algorithm processor that receives the information from each of the data sources, and displays one or more routes for a vehicle operator to choose from that are determined based on cost savings.

19. The system according to claim 18 further comprising a rare traffic event data source that provides information on rare traffic events.

20. The system according to claim 19 wherein the rare traffic event information includes time of the traffic event, duration of the traffic event and magnitude of the traffic event.

21. The system according to claim 18 wherein further comprising data sources that provide information concerning vehicular diagnostics and driver behavior.

22. The system according to claim 18 further comprising a data source that provides a predicted average speed along different routes.