Urban Traffic Controller Using Fuzzy Neural Network and MultiSensors Data Fusion

There are massive noises and uncertainty factor in traffic data. It is difficult to obtain accurate data from one sensor. Three layers structure to realize the traffic data acquisition based on multi sensors data fusion is given in this article. In the first layer, data from different data source is integrated to an uniform data stream; In the second layer, fuzzy neural network is used to predict the queue length and traffic time. In the third layer, multiphase fuzzy controller for intersection based on queue length is designed. Feasibility of such method is proved by the simulation of one typical intersection

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