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《Journal of Changchun Post and Telecommunication Institute》 2005-06
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Algorithm of Traffic Parameters Prediction Based on Neural Network

WU Hao-yong~1,CONG Yu-liang~1,WANG Hong-zhi~2 (1.College of Communication Engineering,Jilin University,Changchun 130025,China;2.College of Computer,Changchun University of Technology,Changchun 130012,China)  
To deal with the traffic jam,promote the safety level of the traveling,and improves the efficiency of limited road network.Based on the neural network.We can use the algorithm of traffic parameters prediction to predict the traffic flow, speed and proportion.On the base of analyzing the BP(Back Propagation) neural network algorithm,we study on the L-M(Levenberg-Marquart) algorithm,which error square sum is minimum.Compared with the general predicted algorithms,the algorithm of traffic parameters prediction based on neural network is superior on treating with stochastic parameters.It can follow the traffic parameters.So it is more exact and adaptive.The simulation results show that the training speed of the L-M algorithm is fast than that of the BP algorithm.That of predicting the traffic flow,speed and proportion is better than the effect of exponential smoothing algorithm.Consequently,the algorithm of traffic parameters prediction based on Neural Network can be applied in traffic field.
【Fund】: 国家自然科学基金资助项目(50178072)
【CateGory Index】: U495;
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