Method for Transforming Probe Data Across Transportation Modes

• US 20150094940A1
• Filed: 09/27/2013
• Published: 04/02/2015
• Est. Priority Date: 09/27/2013
• Status: Active Grant

• Current Assignee: HERE Global B.V. (Nokia Corporation)
• Original Assignee: HERE Global B.V. (Nokia Corporation)
• Inventors: Stenneth, Leon
• Granted Patent: US 9,558,658 B2
• Time in Patent Office: Days
• US Class Current: 701/117
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0125 Traffic data processing
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/0141 for traffic information dissemination

Abstract

Disclosed herein is a method. A relationship between a first probe type and a second different probe type is determined. The first probe type includes one of a deficient probe or an abundant probe. The second different probe type includes the other of the deficient probe or the abundant probe. A time estimate based on data corresponding to the deficient probe and/or the abundant probe is provided. Abundant probe information is converted to deficient probe information based on the time estimate.

Claims

1. A method, comprising:

determining a relationship between a first probe type and a second different probe type, wherein the first probe type comprises one of a deficient probe or an abundant probe, wherein the second different probe type comprises the other of the deficient probe or the abundant probe;

providing a time estimate based on data corresponding to the deficient probe and/or the abundant probe; and

converting abundant probe information to deficient probe information based on the time estimate.

2. The method of claim 1 wherein the first probe type corresponds to a transit probe, and wherein the second probe type corresponds to a non-transit probe.

3. The method of claim 1 wherein the first probe type corresponds to a transit bus, and wherein the second probe type corresponds to a train, car, bus, walk, run, or bike.

4. The method of claim 1 further comprising determining an amount of abundant probes in a geographical area.

5. The method of claim 1 further comprising determining an amount of deficient probes in the geographical area.

6. The method of claim 1 further comprising determining a historical relationship between the first probe type and the second probe type.

7. The method of claim 1 wherein the converting of the abundant probe information to deficient probe information is further based on a historical relationship between the first probe type and the second probe type, an abundant probe real time estimate, and a deficient probe real time estimate.

8. An apparatus, comprising:

at least one processor; and

at least one memory including computer program code

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

receive a first information corresponding to a first transportation mode; and

transform the first information into a second information based on a analysis of the first information, wherein the second information corresponds to a second different transportation mode.

9. The apparatus of claim 8 wherein the first transportation mode corresponds to a transit mode, and wherein the second transportation mode corresponds to a non-transit mode.

10. The apparatus of claim 8 wherein the first transportation mode corresponds to a bus, and wherein the second transportation mode corresponds to a train, car, bus, walk, run, or bike.

11. The apparatus of claim 8 wherein the apparatus further comprises a historical relationship subsystem.

12. The apparatus of claim 11 wherein the first information corresponds to a first probe, wherein the second information corresponds to a second probe, and wherein the historical relationship subsystem is configured to maintain distribution relationships between the first probe and the second probe.

13. The apparatus of claim 8 wherein the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to transform the first information into a second information based on a historical relationship between a first probe type and a second probe type, an abundant probe real time estimate, and a deficient probe real time estimate.

14. The apparatus of claim 8 wherein the apparatus comprises a probe transformation server.

15. A computer program product comprising a computer-readable medium bearing computer program code embodied therein for use with a computer, the computer program code comprising:

code for determining a relationship between a first information and a second information, wherein the first information corresponds to a first transportation mode, and wherein the second information corresponds to a second different transportation mode; and

code for transforming the first information into a second information based on a analysis of the first information.

16. The computer program product of claim 15 wherein the first transportation mode corresponds to a transit mode, and wherein the second transportation mode corresponds to a non-transit mode.

17. The computer program product of claim 15 wherein the first transportation mode corresponds to a bus, and wherein the second transportation mode corresponds to a train, car, bus, walk, run, or bike.

18. The computer program product of claim 15 wherein the first information corresponds to a first probe, wherein the second information corresponds to a second probe, and wherein a historical relationship subsystem is configured to maintain distribution relationships between the first probe and the second probe.

19. The computer program product of claim 18 wherein the first probe and/or the second probe corresponds to a probe vehicle of a traffic information system.

20. The computer program product of claim 15 further comprising code for transforming the first information into a second information based on a historical relationship between a first probe type and a second probe type, an abundant probe real time estimate, and a deficient probe real time estimate.