Research on the Real-time Traffic Status Identification of Signalized Intersections Based on Floating Car Data

详细信息    查看全文

• 作者：Aoxiang Wu ; Wei Yin ; Xiaoguang Yang
• 关键词：intelligent transportation systems ; traffic management ; signalized intersections ; traffic status ; floating car data
• 刊名：Procedia - Social and Behavioral Sciences
• 出版年：6 November, 2013
• 年：2013
• 卷：96
• 期：Complete
• 页码：1578-1584
• 全文大小：1025 K

文摘

The knowledge of the actual current status of the road traffic for the entire road network is a basic component of Advanced Traveler Information Systems and Advanced Traffic Management System applications. Identification of traffic status on signalized intersections is the focus of research on urban road network traffic status identification. In this paper, the use of real-time Floating Car Data (FCD), based on traces of GPS positions, is emerging as a reliable and cost-effective way to gather accurate traffic flow information in a road network. Based on the analysis of traffic flow's moving process on the approach of signalized intersections, the paper puts forward a classification method of traffic status on signalized intersections while the relationship between queue length and the capacity of the approach is under consideration, and the algorithm to identify the real-time traffic status on signalized intersections based on FCD is established at last. To test the effectiveness of this algorithm, a field experiment using Floating Car Data (FCD) was conducted at an intersection in Nanjing. The test results indicate that the proposed method provides very satisfactory accuracy in application.