Link Flow Estimation for Parallel Transportation Management

摘要：

　　Link flow is critical to investigate the traffic state in parallel transportation management and thus has been object of growing interest in the past few years.However,tradition estimation methods mostly use partial link counts only and convert this problem into observability studies.This paper proposed a new mathematical model based on both partial link counts and the Automatic Vehicle Identification data.This approach is tested using the actual traffic data from the city of Chengdu,China.The results indicate it is feasible to combine these two data sources to estimate the total link flows.

作者: Peijun Ye

作者单位: The State Key Laboratory of Management and Control for Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China

会议类型: 国内会议

会议名称: 第七届全国平行管理会议

会议地点: 福州

会议语种:英文

页码: 1-5

在线出版日期: 2015-12-11（万方平台首次上网日期，不代表论文的发表时间）