High occupancy vehicle lane enforcement system using an information system for reduced false positives

• US 8,760,317 B2
• Filed: 10/28/2011
• Issued: 06/24/2014
• Est. Priority Date: 10/28/2011
• Status: Active Grant

• Current Assignee: Conduent Business Services, LLC (Conduent, Inc.)
• Original Assignee: Xerox Corporation (Xerox Holdings Corp.)
• Inventors: Paul, Peter, Cantelli, Mark, Xu, Beilei, Islam, Abu
• Primary Examiner(s): MCNALLY, KERRI L
• Application Number:
  US13/284,286
• Publication Number:
  US 20130106622A1
• Time in Patent Office: 970 Days
• Field of Search: 340/933
• US Class Current: 340/933
• CPC Class Codes: G08G 1/0116 from roadside infrastructure, e.g. beacons
• CPC Class Codes: G08G 1/0175 by photographing vehicles, e.g. when violating traffic rules

Abstract

An upstream vehicle detection system captures images of a vehicle as it travels through a high occupancy vehicle (HOV) lane or high occupancy vehicle tolling (HOT) station and generates an hypothesis as to whether the vehicle is complying with HOV or HOT rules based on image analysis. A database of historical information about various vehicles'"'"' compliance with HOV or HOT rules is consulted to determine whether the vehicle has previously been identified as a potential violator and pulled over by law enforcement as a result. If the vehicle was previously pulled over by law enforcement and determined to be complying with HOV or HOT rules (a false positive), then the violation hypothesis may be weighted in favor of not pulling the vehicle over.

Claims

1. A computer-implemented method of enforcing traffic rule compliance, comprising:

determining, via a processor, an HOV violation hypothesis, wherein the HOV violation hypothesis comprises a presumption as to whether a vehicle that is detected within a first HOV zone is complying with one or more HOV rules based on a determined observed passenger configuration associated with the vehicle;

retrieving, via the processor and from a data store, one or more data records associated with the vehicle, wherein the one or more data records include historical information identifying past compliance with or violation of HOV rules by the vehicle;

modifying, via the processor, the HOV violation hypothesis based on the historical information,

receiving, via the processor, information indicating an actual passenger configuration associated with the vehicle; and

storing, via the processor and in the data store, an indication of accuracy associated with the HOV violation hypothesis as a result of comparing the observed passenger configuration to the actual passenger configuration associated with the vehicle.

2. The computer-implemented method of claim 1, wherein the historical information comprises information identifying past compliance with or violation of HOV rules by the vehicle in a second HOV zone that differs from the first HOV zone.

3. The computer-implemented method of claim 2, further comprising:

further modifying, via the processor, the HOV violation hypothesis based on the second HOV zone differing from the first HOV zone.

4. The computer-implemented method of claim 1, wherein:

the historical information comprises information identifying past compliance with HOV rules by the vehicle; and

modifying the HOV violation hypothesis comprises decreasing a presumption that the vehicle is violating one or more HOV rules based on the past compliance.

5. The computer-implemented method of claim 4, wherein the historical information further comprises information indicating that the past compliance was determined as a result of the vehicle being detained by law enforcement.

6. The computer-implemented method of claim 1, wherein:

the historical information comprises information identifying past violation of HOV rules by the vehicle; and

modifying the HOV violation hypothesis comprises increasing a presumption that the vehicle is violating one or more HOV rules based on the past violation.

7. The computer-implemented method of claim 6, wherein the historical information further comprises information indicating that the past violation was determined as a result of the vehicle being detained by law enforcement.

8. The computer-implemented method of claim 1, further comprising:

modifying a subsequent HOV violation hypothesis with respect to the vehicle based on the historical information and the indication of accuracy.

9. A system configured to enforce traffic rule compliance, comprising:

a processing system comprising one or more processors;

a memory system comprising one or more computer-readable media, wherein the computer-readable media contain program instructions that, when executed by the processing system, cause the processing system to perform operations to;

determine an HOV violation hypothesis, wherein the HOV violation hypothesis comprises a presumption as to whether a vehicle detected within a first HOV zone is complying with one or more HOV rules based on an observed passenger configuration associated with the vehicle;

retrieve, from a data store, one or more data records associated with the vehicle, wherein the one or more data records include historical information identifying past compliance with or violation of HOV rules by the vehicle;

modify the HOV violation hypothesis based on the historical information,

receive information indicating an actual passenger configuration associated with the vehicle; and

store, in the data store, an indication of accuracy associated with the HOV violation hypothesis as a result of comparing the observed passenger configuration to the actual passenger configuration associated with the vehicle.

10. The system of claim 9, wherein the historical information comprises information identifying past compliance with or violation of HOV rules by the vehicle in a second HOV zone that differs from the first HOV zone.

11. The system of claim 10, wherein the operations further comprise:

further modifying the HOV violation hypothesis based on the second HOV zone differing from the first HOV zone.

12. The system of claim 9, wherein:

the historical information comprises information identifying past compliance with HOV rules by the vehicle; and

modifying the HOV violation hypothesis comprises decreasing a presumption that the vehicle is violating one or more HOV rules based on the past compliance.

13. The system of claim 12, wherein the historical information further comprises information indicating that the past compliance was determined as a result of the vehicle being detained by law enforcement.

14. The system of claim 9, wherein:

the historical information comprises information identifying past violation of HOV rules by the vehicle; and

modifying the HOV violation hypothesis comprises increasing a presumption that the vehicle is violating one or more HOV rules based on the past violation.

15. The system of claim 14, wherein the historical information further comprises information indicating that the past violation was determined as a result of the vehicle being detained by law enforcement.

16. The system of claim 9, the operations further comprising:

modifying a subsequent HOV violation hypothesis with respect to the vehicle based on the historical information and the indication of accuracy.

17. A computer-implemented method of enforcing traffic rule compliance, comprising:

during a first window of time;

determining, via a processor, a first HOV violation hypothesis, wherein the first HOV violation hypothesis comprises a presumption as to whether a vehicle detected within a first HOV zone is complying with one or more HOV rules based on a determined first observed passenger configuration associated with the vehicle; and

storing, via the processor, the first HOV violation hypothesis in a data store; and

during a second window of time subsequent to the first window of time;

determining, via the processor, a second HOV violation hypothesis, wherein the second HOV violation hypothesis comprises a presumption as to whether the vehicle detected in the second HOV zone is complying with one or more HOV rules based on a determined second observed passenger configuration associated with the vehicle;

retrieving, via the processor and from the data store, the first HOV violation hypothesis; and

modifying, via the processor, the second HOV violation hypothesis based on the first HOV violation hypothesis.

18. The computer-implemented method of claim 17, wherein:

the first HOV violation hypothesis comprises a presumption that the vehicle is violating one or more HOV rules; and

modifying the second HOV violation hypothesis comprises increasing a presumption that the vehicle is violating one or more HOV rules during the second window of time.

19. The computer-implemented method of claim 17, wherein:

the first HOV violation hypothesis comprises a presumption that the vehicle is not violating one or more HOV rules; and

modifying the second HOV violation hypothesis comprises decreasing a presumption that the vehicle is violating one or more HOV rules during the second window of time.

20. A system configured to enforce traffic rule compliance, comprising:

a processing system comprising one or more processors;

a memory system comprising one or more computer-readable media, wherein the computer-readable media contain program instructions that, when executed by the processing system, cause the processing system to perform operations comprising;

during a first window of time;

detecting a vehicle within a first HOV zone;

determining a first observed passenger configuration associated with the vehicle;

determining a first HOV violation hypothesis, wherein the first HOV violation hypothesis comprises a presumption as to whether the vehicle is complying with one or more HOV rules based on the first observed passenger configuration; and

storing the first HOV violation hypothesis in a database; and

during a second window of time subsequent to the first window of time;

detecting the vehicle within a second HOV zone;

determining a second observed passenger configuration associated with the vehicle;

determining a second HOV violation hypothesis, wherein the second HOV violation hypothesis comprises a presumption as to whether the vehicle is complying with one or more HOV rules based on the second observed passenger configuration;

retrieving, from the database, the first HOV violation hypothesis; and

modifying the second HOV violation hypothesis based on the first HOV violation hypothesis.

21. The system of claim 20, wherein:

the first HOV violation hypothesis comprises a presumption that the vehicle is violating one or more HOV rules; and

modifying the second HOV violation hypothesis comprises increasing a presumption that the vehicle is violating one or more HOV rules during the second window of time.

22. The system of claim 20, wherein:

the first HOV violation hypothesis comprises a presumption that the vehicle is not violating one or more HOV rules; and

modifying the second HOV violation hypothesis comprises decreasing a presumption that the vehicle is violating one or more HOV rules during the second window of time.