Study on Identification Method for Urban Road Traffic Conditions with Inductive Loop Data
A real-time identification method for identifying urban road traffic conditions is presented based on fuzzy clustering algorithm according to SCOOT inductive loop data, and a method of determining the identified time interval and a method to verify the identification algorithm are proposed. Finally, a simulated experiment is performed to validate the presented methods by combining an external program with VISSIM software. A comparative analysis shows that the algorithm can improve the identified effects of the urban road traffic conditions in real-time and the proposed evaluation method can evaluate the performance of an identification algorithm for urban road traffic conditions.
Urban road Traffic conditions Inductive loop Fuzzy cluster
Haifeng Guo Guiyan Jiang Weigang Zhu
College of Transportation University of Jilin Changchun City, Jilin Province, China Shandong Jiaotong University College of Transportation, University of Jilin Changchun City, Jilin Pr
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18（万方平台首次上网日期，不代表论文的发表时间）