PREDICTING IMPACT OF A TRAFFIC INCIDENT ON A ROAD NETWORK

• US 20130289865A1
• Filed: 04/30/2012
• Published: 10/31/2013
• Est. Priority Date: 04/30/2012
• Status: Active Grant

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Gupta, Chetan Kumar, MILLER, Mahalia Katherine
• Granted Patent: US 9,008,954 B2
• Time in Patent Office: Days
• US Class Current: 701/119
• CPC Class Codes: G08G 1/0104 Measuring and analyzing of parameters relative to traffic conditions

Abstract

A method and system for predicting impact of traffic incidents on a road network by using a classification scheme to identify a known impact classes associated with captured traffic data.

Claims

1. A method for predicting impact of a traffic incident on a road network, the method comprising:

receiving traffic data from at least one data provider; and

using a processor to;

calculate a plurality of traffic-flow velocities from the traffic data, each of the traffic-flow velocities being associated with a data-provider and a data-capture time,

using a classification scheme to identify an impact class associated with the traffic-flow velocities.

2. The method of claim 1, wherein the processor is further configured to identify data providers having an associated traffic-flow velocity less than their associated recurrent traffic-flow velocity at the data-capture time,

3. The method of claim 2, wherein each of the data providers are selected from the group consisting of a loop induction sensor, an image capture device, and a radar device.

4. The method of claim 1, wherein the data providers include a location-tracked mobile device.

5. The method of claim 1, wherein the data providers include a police log.

6. The method of claim 1, wherein the impact class includes a temporal impact class.

7. The method of claim 1, wherein the impact class includes an economic loss class.

8. The method of claim 1, further comprising displaying a predicted impact class on an output device.

9. The method of claim 1, further comprising calculating at least one feature vector from the traffic-flow velocity.

10. The method of claim 9, further comprising calculating at least one feature vector from traffic data obtained from a police log or weather report.

11. A system for predicting impact of a traffic incident in a road network, the system comprising:

a plurality of data-capture devices disposed along the road network, the data-capture devices configured to capture the traffic data at a data-capture time;

a processor configured to;

calculate a plurality of traffic-flow velocities from the traffic data, each of the traffic-flow velocities being associated with a data-capture time and one of the traffic-data capture devices,

use a classification scheme to identify an impact class associated with the traffic-flow velocities.

12. The system of claim 11, wherein each of the traffic data-capture devices is selected from the group consisting of a loop induction sensor, an image capture device, and a radar device.

13. The system of claim 11, wherein the impact class includes a temporal incident impact class.

14. The system of claim 13, wherein the temporal impact class includes an impact delay class.

15. The system of claim 11, wherein the temporal impact class includes an impact class includes an economic loss class.

16. The system of claim 11, further comprising an output device configured to display the impact class graphically.

17. The system of claim 11, further comprising a processor configured to calculate at least one feature vector from the traffic-flow data.

18. The system of claim 17, wherein the processor is further configured to calculate the feature vector from a police log or a weather report.

19. A non-transitory computer-readable medium having stored thereon instructions for predicting impact of a traffic incident in a road network which when executed by a processor causes the processor to perform a method comprising:

receiving traffic data from a plurality of data-capture devices; and

using a processor to;

calculate a plurality of traffic-flow velocities from the traffic data, each of the traffic-flow velocities being associated with a data-capture device and a data-capture time time,

use a classification scheme to identify an impact class associated with the traffic-flow velocities.

20. The non-transitory computer-readable medium of claim 19, further comprising calculating a feature vector based on the traffic-flow velocities.