Automated Incident Detection Algorithms for Urban Expressway

摘要：

In order to improve the efficiency of traffic management system, reduce the losses caused by traffic incidents, an algorithm for application in urban expressway incident detection is proposed based on the change trend of traffic parameters using gain methodology. The traffic data for research were obtained from a real section of urban expressway. It contains volume, speed and occupancy.The time scale of data is 20s, 1min and 5min. The performance of automatic incident detection (AID) algorithms was evaluated based on detection rate, false alarm rate, mean time difference between different algorithms, mean time difference between different times scale, robustness. The detection performance of the proposed algorithm was compared to California algorithm which has been adequately proven in practical applications. The experimental results indicate that the proposed algorithm is competitive with California algorithm using traffic data of three tnue scales, and the robustness of the proposed algorithm is very satisfactory.

关键词： Urban expressway gain methodology lengthways time series of traffic pararmeters Traffic incident

作者: Guiyan Jiang Guiyan Jiang Shifeng Niu Qi Li Ande chang Hui Jiang

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: 70-74

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）