SYSTEM AND METHOD FOR DISTANCE ESTIMATION

• US 20100262366A1
• Filed: 09/29/2009
• Published: 10/14/2010
• Est. Priority Date: 04/10/2009
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Bouqata, Bouchra, Graziano, Robert August JR., Serth-Guzzo, Judith Ann, Salvo, Joseph James, Mackenzie, Patricia Denise, Jesson, Joseph Edward, Cao, Qing
• Application Number:
  US12/568,692
• Publication Number:
  US 20100262366A1
• Time in Patent Office: Days
• US Class Current: 701/209
• CPC Class Codes: G06Q 10/047 Optimisation of routes or paths, e.g. travelling salesman problem
• CPC Class Codes: G08G 1/20 Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles

Abstract

A mileage estimation system comprising a data collection module, a route determination module, a learning module, and a mileage calculation module is provided. The data collection module receives data corresponding to a position and time of a moving asset from a remote location and the route determination module obtains information from a map database for determining a plurality of routes between at least two location of the moving asset. The learning module in the system determines a route travelled by the moving asset from the plurality of routes based on mileage estimation criterion, and the mileage calculation module estimates the distance travelled by the moving asset based on the route travelled by the moving asset.

Claims

1. A mileage estimation system comprising:

a data collection module for receiving data corresponding to a position and time of a moving asset from a remote location;

a route determination module for obtaining information from a map database for determining a plurality of routes between at least two locations of the moving asset;

a learning module for determining a route travelled by the moving asset from the plurality of routes based on mileage estimation criterion;

a mileage calculation module for estimating the distance travelled by the moving asset based on the route travelled by the moving asset.

2. The system of claim 1, wherein the data collection module comprises a GPS data receiver.

3. The system of claim 1, further comprising at least one satellite for transmitting position data to the moving asset and at least one other satellite for receiving data from the moving asset.

4. The system of claim 1, wherein the data is sparse in nature.

5. The system of claim 1, wherein the data further comprises a status.

6. The system of claim 5, wherein the status comprises a ‘

trip start’

or a ‘

trip end’

status.

7. The system of claim 5, wherein the status further comprises an ‘

intermediate’

status.

8. The system of claim 5, wherein the data further comprises an event.

9. The system of claim 8, wherein the event comprises a ‘

door open’

, a ‘

door closed’

, ‘

cargo loaded’

, or a ‘

cargo empty’

event.

10. The system of claim 1, wherein the moving asset comprises a trailer or a railcar.

11. The system of claim 1, wherein the mileage estimation criterion comprises a most traveled route in the past or a route that matches a historical travel time window.

12. The system of claim 1, wherein the learning module further comprises a trip extraction algorithm to filter out the data.

13. The system of claim 1, wherein the map database comprises an Internet based mapping service.

14. The system of claim 13, wherein the Internet based mapping service comprises Google Maps mapping service, MapQuest Inc. mapping service, Yahoo! Map mapping service or Environmental Systems Research Institute (ESRI) mapping service.

15. The system of claim 1, wherein the learning module is further configured to provide information regarding the plurality of routes based on previously collected data.

16. The system of claim 15, wherein the previously collected data is from the moving asset, other moving assets of a single customer, and/or other moving assets of multiple customers.

17. The system of claim 16, wherein the learning module is configured to store the historical trip data of the moving asset.

18. The system of claim 17, wherein the learning module is configured to regularly update the historical data.

25. The method of claim 1, wherein the map database comprises an Internet based mapping service.

19. A method for determining distance of a moving asset comprising:

receiving data corresponding to a position and time from the moving asset;

generating a plurality of routes between at least two locations of the moving asset based on information from a map database;

determining a route travelled by the moving asset from the plurality of routes based on previously collected data;

estimating the distance travelled by the vehicle based on the route travelled by the moving asset.

20. The method of claim 19, wherein determining the route travelled by the moving asset comprises ranking the plurality of routes based on a ranking criterion.

21. The method of claim 20, wherein the ranking criterion comprises a historical frequency or time-window or a fleet specific pattern.

22. The method of claim 19, wherein determining the route travelled by the moving asset comprises filtering the data using a trip extraction algorithm.

23. The method of claim 22, wherein the trip extraction algorithm is based on a heuristic approach.

24. The method of claim 19, wherein determining the route travelled by the moving asset further comprises filtering the data using a grid based clustering algorithm.