| An improved BP artificial neural network algorithm for urban traffic flow intelligent prediction |
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| 作者姓名： | XIONG Shi-yong ZHANG Yi |
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| 作者单位： | XIONG Shi-yong(College of Software, Chongqing University of Posts and Telecommunications, Chongqing 400065,P. R. China);ZHANG Yi(Automation College, Chongqing University of Posts and Telecommunications, Chongqing 400065,P. R. China)
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| 摘 要： |
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| 关 键 词： | BP人工神经网络模型 人工神经网络算法 城市交通流 智能预测 预测模拟 交通流量 交通拥堵 交通事故 |
| 收稿时间： | 2008/9/22 0:00:00 |
An improved BP artificial neural network algorithm for urban traffic flow intelligent prediction |
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| XIONG Shi-yong,ZHANG Yi.An improved BP artificial neural network algorithm for urban traffic flow intelligent prediction[J].Journal of Chongqing University of Posts and Telecommunications,2009,21(2):305-308. |
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| Authors: | XIONG Shi-yong ZHANG Yi |
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| Institution: | 1. College of Software, Chongqing University of Posts and Telecommunications, Chongqing 400065,P. R. China
2. Automation College, Chongqing University of Posts and Telecommunications, Chongqing 400065,P. R. China |
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| Abstract: | The traffic flow is interrelated to traffic congestion, the big traffic flow directly results in traffic congestion of some section. In this paper, on the basis of the research of overseas traffic accident, considering the characteristic of Chinese traffic, artificial neural network was used to predict traffic accident, and an improved BP artificial neural network model according with Chinese the situation of a country was proposed. The urban traffic flow prediction was simulated under the particular situation, the simulation result shows that the improved BP artificial neural network can fit the urban traffic flow prediction very well and have high performance. |
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| Keywords: | traffic flow BP network Rrediction |
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