Research on adaptive crossroads control model based on wireless sensor networks

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. © 2013 IFSA.