ENVIRONMENTALLY FRIENDLY DRIVING NAVIGATION

• US 20100076675A1
• Filed: 09/22/2009
• Published: 03/25/2010
• Est. Priority Date: 09/24/2008
• Status: Active Grant

• Current Assignee: Regents of the University of California (University of California)
• Original Assignee: Regents of the University of California (University of California)
• Inventors: Boriboonsomsin, Kanok, Barth, Matthew
• Granted Patent: US 8,255,152 B2
• Time in Patent Office: Days
• US Class Current: 701/200
• CPC Class Codes: G01C 21/3469 Fuel consumption; Energy use; Emission aspects

Abstract

The disclosure relates to vehicle navigation systems. More specifically, the disclosure relates to vehicle navigation systems that utilize fuel use and emissions criteria as a parameter to determine directions between two locations.

Claims

1. A system for identifying an environmentally-friendly and/or fuel saving travel route, comprising:

an input device;

a processor;

wherein the input device receives at least one travel parameter and wherein the travel parameter is stored for use by the processor, the processor configured to collect (i) road condition parameters comprising traffic velocity information data and road grade, and (ii) a vehicle energy/emissions data-model;

a computer program on a computer readable medium that cause the computer to;

associate the road condition parameters with one or a plurality of links in a travel route, the plurality of links representing one or more possible travel routes from a start point to a destination point;

calculate fuel consumption and/or emissions for a selected route using road condition parameters and vehicle energy/emission data-model; and

calculate a possible travel route from the start point to the destination point, wherein the route that uses the least fuel and/or produces the least emissions is identified as a travel route from the one or more possible travel routes.

2. The system of claim 1, wherein the system is further configured to determine a fastest possible travel route.

3. The system of claim 1, wherein the road condition parameters comprise real-time road sensor information.

4. The system of claim 1, wherein the road condition parameters comprise historical road conditions.

5. The system of claim 1, wherein the vehicle energy/emission data-model further comprises driver specific driving characteristics.

6. The system of claim 1, wherein the vehicle energy/emission data-model further comprises vehicle load information.

7. The system of claim 1, wherein the links connect two or more nodes.

8. The system of claim 7, wherein the route is automatically generated from at least the start point and the destination point.

9. The system of claim 1, wherein the computer instructions further comprise instruction to determine whether the predicted route exceeds a fuel consumption or emissions value for a fastest travel route.

10. The system of claim 1, wherein the possible travel route is further associated with a calculated travel time.

11. The system of claim 1, wherein road conditions parameters comprise microscale velocity patterns of individual vehicles and macroscale traffic measurements comprising average traffic speed, density, and/or flow.

12. A method for identifying an environmentally and/or fuel saving travel route, comprising:

collecting (i) road conditions parameters comprising traffic velocity information data and road grade, and (ii) vehicle energy/emission data-model;

associating the road conditions parameters with one or a plurality of links in a travel route, the plurality of links representing one or more possible travel routes from a start point to a destination point;

calculating fuel consumption and/or emissions for a selected route using road condition parameters and vehicle energy/emission data-model; and

calculating a possible travel route from the start point to the destination point, wherein the route that uses the least fuel and/or produces the least emissions is the possible travel route from the one or more possible travel routes.

13. The method of claim 12, wherein the method further includes calculating a fastest possible travel route.

14. The method of claim 12, wherein the road condition parameters comprise real-time road sensor information.

15. The method of claim 12, wherein the road condition parameters comprise historical road conditions.

16. The method of claim 12, wherein the vehicle energy/emission data-model further comprises driver specific driving characteristics.

17. The method of claim 12, wherein the vehicle energy/emission data-model further comprises vehicle load information.

18. The method of claim 12, wherein the links connect two or more nodes.

19. The method of claim 18, wherein the route is automatically generated from at least the start point and the destination point.

20. The method of claim 12, further including determining whether the predicted route exceeds a fuel consumption or emissions value for a fastest travel route.

21. The method of claim 12, wherein the possible travel route is further associated with a calculated travel time.

22. The method of claim 12, wherein road conditions parameters comprise microscale velocity patterns of individual vehicles and macroscale traffic measurements comprising average traffic speed, density, and/or flow.

23. A navigation device that comprises a computer program for carrying out the method of claim 12.

24. The navigation device of claim 23, wherein the navigation device is an on-board navigation device.

25. The navigation device of claim 23, wherein the navigation device is a portable navigation device.

26. The navigation device of claim 23, wherein the navigation device is a portable navigation device and wherein the method is carried out by a computer at a remote location.

27. A computer-readable medium having embodied thereon instructions to cause a computer to perform the method of claim 12.