System And Method For Intelligent Traffic Control Using Wireless Sensor And Actuator Networks

• US 20080238720A1
• Filed: 07/20/2007
• Published: 10/02/2008
• Est. Priority Date: 03/30/2007
• Status: Abandoned Application

• Current Assignee: Industrial Technology Research Institute
• Original Assignee: Industrial Technology Research Institute
• Inventors: Lee, Jin-Shyan
• Application Number:
  US11/780,477
• Publication Number:
  US 20080238720A1
• Time in Patent Office: Days
• US Class Current: 340/909
• CPC Class Codes: G08G 1/081 Plural intersections under common control

Abstract

Disclosed is a system and method for intelligent traffic control using wireless sensor and actuator networks. The system comprises a control center, M regional gateways, and N sensor and actuator nodes. The N sensor and actuator nodes and L cluster heads form L clusters. Each cluster includes a cluster head and at least a sensor and actuator node. The control center, the M regional gateways, and the N sensor and actuator nodes form a multi-layer structure. Each N sensor and actuator node may real-time detect traffic states, and exchange information with other nodes via a wireless communication having a self-recovery function. The system and method applies a distributed computing strategy to automatically adjust the traffic control on each traffic flow, thereby achieving an efficient traffic control.

Claims

1. A system for intelligent traffic control using wireless sensor and actuator networks, said system comprising:

a control center;

M regional gateways, each of said M regional gateways being connected to said control center; and

N sensor and actuator nodes, said N sensor and actuator nodes and L clusters heads forming L clusters, each of said L clusters including a cluster head and at least a sensor and actuator node;

wherein said M, N, and L are positive integers, and said system uses a distributed decision-making architecture to automatically adjust control plan of each intersection for traffic control.

2. The system as claimed in claim 1, wherein each of said L cluster heads communicates with neighboring cluster heads and performs inter-cluster cooperative computing.

3. The system as claimed in claim 1, wherein each of said M regional gateways communicates with neighboring regional gateways and performs inter-regional cooperative computing.

4. The system as claimed in claim 1, wherein each of said N sensor and actuator nodes further includes a microprocessor, a traffic state sensor, a traffic sign actuator, an electronic display actuator, a short distance wireless transceiver and antenna, and a power supply.

5. The system as claimed in claim 1, wherein each of said M regional gateways further includes a microprocessor, a traffic state sensor, a traffic sign actuator, an electronic display actuator, a short distance wireless transceiver and antenna, a power supply, and a long distance communication interface.

6. The system as claimed in claim 1, wherein the cluster head of each cluster is played by a sensor and actuator node of said cluster.

7. The system as claimed in claim 1, wherein each of said N sensor and actuator nodes is installed at an intersection.

8. The system as claimed in claim 1, wherein each sensor and actuator node within a cluster performs cluster control with the cluster head of said cluster, and each said sensor and actuator node and the cluster head of said cluster have an autonomic computing capability.

9. The system as claimed in claim 1, wherein each sensor and actuator node of a cluster communicates with the cluster head of said cluster through short distance communication to exchange information.

10. The system as claimed in claim 1, wherein said system forms a multi-layer architecture from said N sensor and actuator nodes, said L cluster heads, said M regional gateways, to said control center.

11. The system as claimed in claim 10, wherein the cluster head of each cluster uses multi-hop communication for long distance information exchange with its belonging regional gateway.

12. The system as claimed in claim 10, wherein the information exchange among said M regional gateways and between each regional gateway and said control center are performed through long distance communication.

13. The system as claimed in claim 10, wherein among each cluster head in a regional gateway and said regional gateway have an autonomic computing capability.

14. The system as claimed in claim 10, wherein said system uses a vehicle sensor and actuator to handle the real-time guiding for an emergent vehicle.

15. A method for intelligent traffic control using sensor and actuator networks, said method comprising the steps of:

forming a multi-layer architecture, said multi-layer architecture including a plurality of regional gateways and a plurality of clusters formed by a plurality of sensor and actuator nodes and a plurality of cluster heads, and each cluster including a cluster head and at least a sensor and actuator node;

each of said plurality of cluster heads performing autonomic computing, and its corresponding sensor and actuator performing traffic control;

each cluster head and its neighboring cluster heads performing cooperative computing and distributed traffic control;

each cluster head communicates with its corresponding regional gateway via multi-hop communication, after said corresponding regional gateway performing autonomic computing, said cluster head performing centralized traffic control;

each regional gateway and its neighboring regional gateways performing cooperative computing and distributed traffic control; and

after a control center communicating with each regional gateway, performing autonomic computing, and each cluster head of a cluster performing centralized traffic control.

16. The method as claimed in claim 15, wherein said multi-layer architecture is formed from said plurality of sensor and actuator nodes, said plurality of cluster heads, said plurality of regional gateways to said control center.

17. The method as claimed in claim 15, said method has a self-recovery capability.

18. The method as claimed in claim 17, wherein when a cluster head is detected by a sensor and actuator node being down, said self-recovery further includes the steps of:

said sensor and actuator node scanning channel;

checking to determine whether an available cluster head existing in said cluster;

if so, said sensor and actuator node joining said available cluster head;

if not, said sensor and actuator node acting as a cluster head to form a cluster; and

sending a repair request to said control center.

19. The method as claimed in claim 15, wherein when a cluster head of a cluster detects a sensor and actuator node being down, said cluster head uses multi-hop communication to connect its belonging regional gateway and said regional gateway sends a repair request to said control center.

20. The method as claimed in claim 15, said method further includes the handling of real-time guiding of an emergent vehicle.

21. The method as claimed in claim 20, wherein said handling of real-time guiding of said emergent vehicle further includes the steps of:

activating a vehicle sensor and actuator device, and inputting a destination;

said vehicle sensor and actuator device positioning a current location of said emergent vehicle;

determining an optimal path to said destination according to the current real-time traffic state; and

during the trip of said emergent vehicle, said sensor and actuator nodes along said optimal path controlling traffic signs in real time to warn other coming vehicles.

22. The method as claimed in claim 21, wherein said determining an optimal path to said destination steps further includes the steps of:

said vehicle sensor and actuator device computing possible paths to said destination;

said vehicle sensor and actuator device joining a neighboring cluster head, and sending said possible paths to said neighboring cluster head;

said cluster head receiving said possible paths, obtaining real-time traffic state of intersections along said possible paths, transmitting said real-time traffic state to said sensor and actuator device;

said vehicle sensor and actuator device determining an optimal path;

said vehicle sensor and actuator device transmitting said optimal path of said cluster head, and said cluster head informing other cluster heads at the intersections along said optimal path of said optimal path; and

said neighboring cluster head informing said related sensor and actuator nodes of said optimal path information.