Method and Apparatus for Automatic Estimated Time of Arrival Calculation and Provision

• US 20140244143A1
• Filed: 02/25/2013
• Published: 08/28/2014
• Est. Priority Date: 02/25/2013
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Elwart, Shane, Doering, Jeffrey Allen, Feldkamp, Timothy Mark
• Granted Patent: US 9,863,777 B2
• Time in Patent Office: Days
• US Class Current: 701/117
• CPC Class Codes: G01C 21/26 specially adapted for navigation in a road network
• CPC Class Codes: G01C 21/3492 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 Class Codes: G08G 1/096844 where the complete route is dynamically recomputed based on new data

Abstract

A system includes a processor configured to receive information relating to a vehicle location. The processor is also configured to determine one or more filters, based on the received information, for filtering out a plurality of non-specified locations from varied location types. Further, the processor is configured to apply filters for each varied location type to select a plurality of non-specified locations. The processor is also configured to calculate an estimated time of arrival (ETA), for each of the selected locations, and deliver the selected locations and the calculated ETAs to a vehicle.

Claims

1. A system comprising:

a processor configured to;

receive information relating to a vehicle location;

determine one or more filters, based on the received information, for filtering out a plurality of non-specified locations from varied location types;

apply filters for each varied location type to select a plurality of non-specified locations;

for each of the selected locations, calculate an estimated time of arrival (ETA); and

deliver the selected locations and the calculated ETAs to a vehicle.

2. The system of claim 1, wherein at least one filter is based on a driver profile.

3. The system of claim 1, wherein at least one filter is based on a time of day.

4. The system of claim 1, wherein at least one filter is based on a vehicle heading and location.

5. The system of claim 1, wherein a location type is a point of interest.

6. The system of claim 1, wherein a location type is an intersection.

7. The system of claim 1, wherein a location type is a city.

8. The system of claim 1, wherein the received information includes a driver profile or driver identification.

9. A computer-implemented method comprising:

receiving information relating to a vehicle location;

determining one or more filters, based on the received information, for filtering out a plurality of non-specified locations from varied location types;

applying filters for each varied location type to select a plurality of non-specified locations;

for each of the selected locations, calculating an estimated time of arrival (ETA); and

delivering the selected locations and the calculated ETAs to a vehicle.

10. The method of claim 9, wherein at least one filter is based on a driver profile.

11. The method of claim 9, wherein at least one filter is based on a time of day.

12. The method of claim 9, wherein at least one filter is based on a vehicle heading and location.

13. The method of claim 9, wherein a location type is a point of interest.

14. The method of claim 9, wherein a location type is an intersection.

15. The method of claim 9, wherein a location type is a city.

16. A system comprising:

a processor configured to;

receive a traffic update for traffic between a vehicle location and multiple stored locations;

calculate updated estimated times of arrival (ETA) for the locations based on the traffic update;

calculate a change to stored ETAs for the locations based on vehicle movement;

compare differences between the updated ETAs and the changed stored ETAs to alert a driver of updated ETAs for any differences beyond a predefined threshold.

17. The system of claim 16, wherein the multiple stored locations include one or more non-destination points of interest.

18. The system of claim 16, wherein the multiple stored locations include one or more non-destination intersections.

19. The system of claim 16, wherein the multiple stored locations include one or more cities.

20. The system of claim 16, wherein the multiple stored locations are all non-destination locations.