Method for Transforming Probe Data Across Transportation Modes

• US 20170046951A1
• Filed: 11/01/2016
• Published: 02/16/2017
• Est. Priority Date: 09/27/2013
• Status: Active Grant

• Current Assignee: HERE Global B.V. (HERE Holding Corporation)
• Original Assignee: HERE Global B.V. (HERE Holding Corporation)
• Inventors: Stenneth, Leon
• Granted Patent: US 9,984,565 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• 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

First probe data for a first probe type and second probe data for a second probe type are received and stored. A relationship between the first probe type and the second probe type is determined based on at least a portion of the first probe data and at least a portion of the second probe data. The relationship is categorized based on a property of the travel conditions under which the at least a portion of the first probe data and the at least a portion of the second probe data were collected. First real-time probe data for the first probe type is received. The first real-time probe data is converted into second real-time probe data based on the relationship.

Claims

1. A method comprising:

receiving and storing first probe data for a first probe type, wherein the first probe type corresponds to a first transportation mode, wherein the first probe data is received from a plurality of first probe data collection devices, each first probe data collection device being installed onboard a vehicle corresponding to the first transportation mode, and wherein each first probe data collection device is configured to provide at least one of latitude, longitude, speed, or heading of the corresponding vehicle;

receiving and storing second probe data for a second probe type, wherein the second probe type corresponds to a second transportation mode, wherein the second probe data is received from a plurality of second probe data collection devices, each second probe data collection device being installed onboard a vehicle corresponding to the second transportation mode, and wherein each second probe data collection device is configured to provide at least one of latitude, longitude, speed, or heading of the corresponding vehicle;

determining a relationship between the first probe type and the second probe type based on at least a portion of the first probe data and at least a portion of the second probe data, wherein the relationship is categorized based on a property of the travel conditions under which the at least a portion of the first probe data and the at least a portion of the second probe data were collected;

receiving first real-time probe data for the first probe type; and

converting the first real-time probe data into second real-time probe data based on the relationship.

2. A method according to claim 1, wherein the first probe type is an abundant probe type and the second probe type is a deficient probe type.

3. A method according to claim 1, wherein the first probe type is a public transit probe type and the second probe type is a non-public transit probe type.

4. A method according to claim 1, wherein the relationship is categorized based on road congestion.

5. A method according to claim 1, wherein the relationship is categorized based on weather conditions.

6. A method according to claim 1, further comprising:

providing a first real time probe information estimate based on collected first probe data corresponding to the first probe type, wherein the first real time probe information estimate relates to a location, travel time, or speed of a vehicle corresponding to the first transportation mode; and

converting the first real time probe information estimate to second real time probe information by using the determined relationship and based on at least the first real time probe information estimate, in order to estimate a location, travel time, or speed for a vehicle of the second transportation mode.

7. A method according to claim 1, wherein the relationship is one of a distribution relationship between the first probe type and the second probe type, a correlation relationship between the first probe type and the second probe type, or both.

8. A method according to claim 1, wherein the relationship is specific to a road segment, a city, a time point, or a combination thereof.

9. 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 and store first probe data for a first probe type in the at least one memory, wherein the first probe type corresponds to a first transportation mode, wherein the first probe data is received from a plurality of first probe data collection devices, each first probe data collection device being installed onboard a vehicle corresponding to the first transportation mode, and wherein each first probe data collection device is configured to provide at least one of latitude, longitude, speed, or heading of the corresponding vehicle;

receive and store second probe data for a second probe type in the at least one memory, wherein the second probe type corresponds to a second transportation mode, wherein the second probe data is received from a plurality of second probe data collection devices, each second probe data collection device being installed onboard a vehicle corresponding to the second transportation mode, and wherein each second probe data collection device is configured to provide at least one of latitude, longitude, speed, or heading of the corresponding vehicle;

determine a relationship between the first probe type and the second probe type based on at least a portion of the first probe data and at least a portion of the second probe data, wherein the relationship is categorized based on a property of the travel conditions under which the at least a portion of the first probe data and the at least a portion of the second probe data were collected;

receive first real-time probe data for the first probe type; and

convert the first real-time probe data into second real-time probe data based on the relationship.

10. An apparatus according to claim 9, wherein the relationship is categorized based on road congestion.

11. An apparatus according to claim 9, wherein the relationship is categorized based on weather conditions.

12. An apparatus according to claim 9, wherein the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus to perform at least the following:

provide a first real time probe information estimate based on collected first probe data corresponding to the first probe type, wherein the first real time probe information estimate relates to a location, travel time, or speed of a vehicle corresponding to the first transportation mode; and

convert the first real time probe information estimate to second real time probe information by using the determined relationship and based on at least the first real time probe information estimate, in order to estimate a location, travel time, or speed for a vehicle of the second transportation mode.

13. An apparatus according to claim 9, wherein the relationship is one of a distribution relationship between the first probe type and the second probe type, a correlation relationship between the first probe type and the second probe type, or both.

14. An apparatus according to claim 9, wherein the relationship is specific to a road segment, a city, a time point, or a combination thereof.

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

receive and store first probe data for a first probe type, wherein the first probe type corresponds to a first transportation mode, wherein the first probe data is received from a plurality of first probe data collection devices, each first probe data collection device being installed onboard a vehicle corresponding to the first transportation mode, and wherein each first probe data collection device is configured to provide at least one of latitude, longitude, speed, or heading of the corresponding vehicle;

receive and store second probe data for a second probe type, wherein the second probe type corresponds to a second transportation mode, wherein the second probe data is received from a plurality of second probe data collection devices, each second probe data collection device being installed onboard a vehicle corresponding to the second transportation mode, and wherein each second probe data collection device is configured to provide at least one of latitude, longitude, speed, or heading of the corresponding vehicle;

determine a relationship between the first probe type and the second probe type based on at least a portion of the first probe data and at least a portion of the second probe data, wherein the relationship is categorized based on a property of the travel conditions under which the at least a portion of the first probe data and the at least a portion of the second probe data were collected;

receive first real-time probe data for the first probe type; and

convert the first real-time probe data into second real-time probe data based on the relationship.

16. A computer program product according to claim 15, wherein the relationship is categorized based on road congestion.

17. A computer program product according to claim 15, wherein the relationship is categorized based on weather conditions.

18. A computer program product according to claim 15, wherein the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus to perform at least the following:

provide a first real time probe information estimate based on collected first probe data corresponding to the first probe type, wherein the first real time probe information estimate relates to a location, travel time, or speed of a vehicle corresponding to the first transportation mode; and

convert the first real time probe information estimate to second real time probe information by using the determined relationship and based on at least the first real time probe information estimate, in order to estimate a location, travel time, or speed for a vehicle of the second transportation mode.

19. A computer program product according to claim 15, wherein the relationship is one of a distribution relationship between the first probe type and the second probe type, a correlation relationship between the first probe type and the second probe type, or both.

20. A computer program product according to claim 15, wherein the relationship is specific to a road segment, a city, a time point, or a combination thereof.