Urban Traffic Controller Using Fuzzy Neural Network and MultiSensors Data Fusion

摘要：

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.

关键词： Fuzzy Neural Network Queue Length Multi Phase Fuzzy Controller Multi Sensors Data Fusion

作者: Yaguang Kong Siyu Guo

作者单位: Institute of Information and Control Hangzhou Dianzi University Hangzhou, 310037, China College of Electrics and Engineering Hunan University Changsha, 410082, China

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 404-409

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）