AN INTELLIGENT TRAFFIC LIGHT CONTROL METHOD BASED ON EXTENSION THEORY FOR CROSSROADS

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外文摘要：This paper presents an intelligent traffic light control method based on extension theory for crossroads。 First， the number of passing vehicles and maximum passing time of one vehicle within green light time period are measured in the main-line and sub-line of a selected crossroad。 Then， the measured data are adopted to construct the extended matter-element model and accordingly the correlation degrees are calculated for recognizing the traffic flow of a standard crossroad。 Some experimental results are made to verify the effectiveness of the proposed intelligent traffic flow control method。 The diagnostic results indicate that the proposed estimated method can discriminate the traffic flow of a standard crossroad rapidly and accurately。

外文关键词：

Extension TheoryExtended Matter-element ModelCorrelation DegreeTraffic Light SystemTraffic Flow Control

作者：

KUEI-HSIANG CHAO、REN-HAO LEE、KUN-LUNG YEN

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作者单位：

Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung, Taiwan, R.O.C.

Photovoltaics Technology Center, Industrial Technology Research Institute, Hsinchu, Taiwan, R.O.C.

会议名称：

2008 International Conference on Machine Learning and Cybernetics（2008机器学习与控制论国际会议）论文集

会议地点：

Kunming(CN)

会议母体文献：

2008 International Conference on Machine Learning and Cybernetics（2008机器学习与控制论国际会议）

页码：

1882-1887

出版时间：

2008