IDENTIFYING IMPACT OF A TRAFFIC INCIDENT ON A ROAD NETWORK

• US 20130289864A1
• Filed: 04/30/2012
• Published: 10/31/2013
• Est. Priority Date: 04/30/2012
• Status: Active Grant

• Current Assignee: Micro Focus LLC (Open Text Corporation)
• Original Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Inventors: MILLER, Mahalia Katherine, Gupta, Chetan Kumar, Wang, Yin
• Granted Patent: US 9,047,495 B2
• Time in Patent Office: Days
• US Class Current: 701/119
• CPC Class Codes: G06G 7/76 for traffic
• CPC Class Codes: G06G 7/78 for direction-finding, locating, distance or velocity measuring, or navigation systems
• CPC Class Codes: G08G 1/0116 from roadside infrastructure, e.g. beacons
• CPC Class Codes: G08G 1/0133 for classifying traffic situation
• CPC Class Codes: G08G 1/0141 for traffic information dissemination
• CPC Class Codes: G08G 1/04 using optical or ultrasonic detectors
• CPC Class Codes: G08G 1/042 using inductive or magnetic detectors
• CPC Class Codes: G08G 1/052 with provision for determining speed or overspeed speed measuring in general G01P

Abstract

A method and system for identifying impact of a traffic incident on a road network, wherein the impact may be measured in terms of a spatial-temporal-impact region, in terms of incident duration from the time the incident is reported to the time at which the affected road network returns to recurrent flow conditions, and in terms of a cumulative time delay of all affected drivers.

Claims

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

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

using a processor to;

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

identify data-capture devices having an associated traffic-flow velocity less than their associated recurrent traffic-flow velocity at the data-capture time.

2. The method of claim 1, wherein each data-capture device from the data-capture devices is selected from the group consisting of a loop induction sensor, an image capture device, and a radar device,

3. The method of claim 1, wherein the data-capture devices include a location-tracked mobile device.

4. The method of claim 1, wherein the recurrent traffic-flow velocity is calculated from preliminary traffic data captured during a training period.

5. The method of claim 1, further comprising displaying the impact area on an output device.

6. The method of claim 1, further comprising calculating a temporal metric of the impact.

7. The method of claim 6, wherein the temporal metric includes an incident duration period measured from a beginning of the incident to a time at which the traffic-flow velocities are equal to or greater than recurrent traffic-flow velocities associated with the data-capture devices

8. The method of claim 6, wherein the temporal metric includes an incident delay.

9. The method of claim 1, further comprising receiving traffic data from police logs or weather reports.

10. A system for identifying 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 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; and

a processor configured to identify the data-capture devices having a traffic-flow velocity less than a recurrent traffic--flow velocity at the data-capture time.

11. The system of claim 10, wherein each data-capture device from the data-capture devices is selected, from the group consisting of a loop induction sensor, an image capture device, and a radar device.

12. The system of claim 10, further comprising an output device configured to display an area bound by the data-capture devices having a traffic-flow velocity less than a recurrent traffic-flow velocity at the data-capture time.

13. The system of claim 10, further comprising a processor configured to calculate a plurality of recurrent traffic-flow velocities from preliminary traffic data captured during a training period.

14. The system of claim 10, wherein the processor is further configured to receive traffic data from police logs or weather reports.

15. The system of claim 10, wherein the processor is configured to calculate a temporal metric of the impact based on the traffic data.

16. A non-transitory computer-readable medium having stored thereon instructions for identifying 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 specific data-capture device and a data-capture time; and

identify data-capture devices having traffic-flow velocities less than a recurrent traffic-flow velocity associated with data-capture devices at the data-capture time.

17. The non-transitory computer-readable medium of claim 16, wherein each data-capture device from the data-capture devices is selected from the group consisting of a loop induction sensor, an image capture device, and a radar device.

18. The non-transitory computer-readable medium of claim 16, further comprising displaying the impact as area on a graphical output device.

19. The non-transitory computer-readable medium of claim 16, wherein the recurrent traffic-flow velocity is calculated from preliminary traffic-flow data captured by the data-capture devices during a training period.

20. The non-transitory computer-readable medium of claim 16, further comprising calculating a temporal metric of the impact.