Lane level congestion splitting

• US 9,558,657 B2
• Filed: 11/12/2015
• Issued: 01/31/2017
• Est. Priority Date: 03/13/2014
• Status: Active Grant

• Current Assignee: HERE Global B.V. (Nokia Corporation)
• Original Assignee: HERE Global B.V. (Nokia Corporation)
• Inventors: Fowe, James Adeyemi, Giurgiu, Gavril, Finn, Michael, Stenneth, Leon Oliver
• Primary Examiner(s): Tarcza, Thomas
• Assistant Examiner(s): GOLDMAN, RICHARD A
• Application Number:
  US14/939,028
• Publication Number:
  US 20160063857A1
• Time in Patent Office: 446 Days
• US Class Current: 1/1
• 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 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0116 from roadside infrastructure, e.g. beacons
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/0133 for classifying traffic situation
• CPC Class Codes: G08G 1/0141 for traffic information dissemination

Abstract

A controller receives probe data from a vehicle traveling on a path segment. The probe data may be collected by a mobile device. The path segment may be a multilane roadway. The controller identifies a first lane of the path segment from the probe data. The controller associated a forked route with the first lane of the path segment. The controller calculates different traffic values for the lanes of the path segment. One traffic value may be calculated directly from speeds derived from the path data. Another traffic value may be calculated by the probe data and a historical relationship.

Claims

1. A method comprising:

receiving, at a mobile device, location data indicative of a geographic position of the mobile device;

sending the location data to a server;

receiving, at the mobile device, traffic data for a plurality of parallel lanes based on the location data, wherein the traffic data for at least one of the parallel lanes is based on a combination of current traffic measurements and historic traffic measurements; and

providing, at the mobile device, the traffic data for the plurality of parallel lanes.

2. The method of claim 1, wherein the traffic data includes a traffic value for each of the parallel lanes.

3. The method of claim 2, further comprising:

identifying a graphical indicator for the traffic value for each of the parallel lanes.

4. The method of claim 1, wherein the traffic data includes real time data for only a first lane of the parallel lanes and historical data for both the first lane and a second lane of the parallel lanes.

5. The method of claim 4, wherein the historical data includes a ratio between historical traffic levels for the first lane and historical traffic levels for the second lane.

6. The method of claim 1, wherein the traffic data is received through a traffic message channel broadcast.

7. The method of claim 1, wherein the traffic data includes a road segment identification value.

8. The method of claim 1, wherein the plurality of parallel lanes includes an exit ramp lane and a through lane, a first traffic level of the traffic data corresponds to the exit ramp lane, and a second traffic level of the traffic data corresponds to the through lane.

9. The method of claim 1, wherein the plurality of parallel lanes includes a forked route.

10. The method of claim 1, where the traffic data includes at least two traffic levels.

11. The method of claim 1, wherein the plurality of parallel lanes have a common upstream road segment.

12. The method of claim 1, wherein the geographic position is a location of a vehicle including the mobile device and traveling on one of the plurality of parallel lanes.

13. A mobile device comprising:

at least one processor; and

at least one non-transitory memory including computer program code for one or more programs;

the at least one non-transitory memory and the computer program code configured to, with the at least one processor, cause the apparatus to at least perform;

receiving location data indicative of a geographic position of the mobile device;

sending the location data to a server; and

receiving, at the mobile device, traffic data for a plurality of parallel lanes based on the location data, wherein the traffic data for at least one of the parallel lanes is based on a combination of current traffic measurements and historic traffic measurements.

14. The apparatus of claim 13, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to at least perform:

generating data for display of the traffic data for the plurality of parallel lanes.

15. The apparatus of claim 13, wherein the traffic data includes a traffic value for each of the parallel lanes.

16. The apparatus of claim 13, wherein the traffic data includes real time data for only a first lane of the parallel lanes and historical data for both the first lane and a second lane of the parallel lanes.

17. The apparatus of claim 13, wherein the historical data includes a ratio between historical traffic levels for the first lane and historical traffic levels for the second lane.

18. The apparatus of claim 13, wherein the plurality of parallel lanes includes an exit ramp lane and a through lane, a first traffic level of the traffic data corresponds to the exit ramp lane, and a second traffic level of the traffic data corresponds to the through lane.

19. A method comprising:

receiving, at a mobile device, location data indicative of a geographic position;

sending the location data to a server;

receiving, at the mobile device, traffic data for a plurality of parallel lanes based on the location data, wherein the traffic data for at least one of the parallel lanes is based on a combination of current traffic measurements for a first lane of the plurality of parallel lanes and historic traffic measurements for a second lane of the plurality of parallel lanes, wherein the first lane and the second lane are adjacent; and

providing the traffic data for the plurality of parallel lanes.