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Traffic Signal Scheduling Based on Artificial Neural Network Prediction Control

HE Zhan-bing1,2(1.Turpan Radio and Television University,Turpan 838000,China; 2.Hunan Mass Media Vocational Technical College,Changsha 410100,China)  
The cycle of traffic signal in crossroads is determined in traditional control.According to uncertainty in vehicles flow,road load is unbalanced.It can easily lead to load jamming or idling.A predictive control algorithm based on artificial neural network is introduced in the paper.The technology can be used to analysis the situation and decide the variation of traffic signal cycle.The traffic load balance can be achieved.Base on urban road intersection,this paper designs a predictive control system for intersection transportation lights control based on neural network.The different transportation lights control cycles in different periods are given.The method can improve road transportation efficiency and increase the load throughout.
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