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Vol. 157, Issue 10, October 2013, pp. 141-146

 

Bullet

 

Research on Adaptive Crossroads Control Model Based on Wireless Sensor Networks
 
1,2 Musong GU, 1 Yusong YAN, 1 Yong YANG, 1 Hongwei WANG, 1 Long WEI, 3 Zhen ZUO

1 College of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610000, China

2 College of Information Science and Technology, Chengdu University, Chengdu 610106, China

3 The Chuandongbei Gas Project, Unocal East China Sea, Ltd., Chengdu 610021, China

1 Tel.: (86) 139 8213 8748

1 E-mail: gms2020@163.com

 

Received: 13 August 2013   /Accepted: 25 September 2013   /Published: 31 October 2013

Digital Sensors and Sensor Sysstems

 

Abstract: Traffic information collection and traffic flow control around the crossroads are main topics of current traffic related research. The most commonly used method of traffic signal control at present is fixed-time control which only applies to small traffic flow circumstances with low efficiency. Therefore, we propose a new method which is an adaptive crossroads control model based on Wireless Sensor Network, to accurately monitor the traffic flow around the crossroads. Chemical Reaction Optimization is used to optimize the proposed new model and this optimized model is used for real-time traffic control. We simulated the optimized model and research results show that the new model can significantly decrease vehicles' average delay time and effectively improve the traffic capacity.

 

Keywords: Traffic information collection, Traffic flow control, Wireless sensor network, Chemical reaction optimization.

 

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