Identification Method of Traffic State Based on Cloud Theory

摘要：

Traffic state identification is a key technology of dynamic guidance system. In view of the fuzziness and randomness of traffic state, this paper develops an algorithm of traffic state identification based on cloud theory. According to synthesized cloud theory, the synthesized evaluation cloud model is established by integrating clouds of different evaluation factors. Using x condition cloud generator and maximal decision method, the synthesized identified cloud model is built Finally, the cloud similarity between the synthesized evaluation cloud and the synthesized identified cloud decides the identification results. The experiment results show that it is feasible and can be easily implemented.

关键词： traffic state identification synthesized cloud cloud similarity

作者: GAO Hongyan LIU Fasheng

作者单位: College of Information and Electrical Engineering Shandong University of Science and Technology Qingdao, China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 182-186

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）