Automatic Traffic Congestion identification Method of Expressway based on Gain Amplifier Theory

摘要：

This paper proposes a method for application in automatic traffic congestion identification method (ACI) using gain amplifier theory. The road segment dividing method is given in this paper, and the ACI method of road lean, road cross-section and natural road segment are proposed to identify the traffic state of expressway. The performance of ACI method is evaluated using real and simulation data. The experimental results indicate that the proposed ACI method of lean produced satisfactory DR with deemed acceptable FAR using traffic data of three time scales. The ACI method of natural road segment is suit for estimating the traffic state of natural road segment.

关键词： A CI gain amplifier theory natural road segment

作者: Guiyan Jiang Guiyan Jiang Shifeng Niu Ande chang Zhiqiang Meng Chunqin Zhang

作者单位: State Key Laboratory of Automotive Dynamic Simulation, Jilin University Changchun, china Transportation and Traffic College Jilin University Changchun, 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: 648-651

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）