Estimation of Incident-Induced Congestion on Signalized Arteries Using Traffic Sensor Data  

作　　者：Lin Hou Zuo Zhang Binghao Lu Runmin Xu Yi Zhang 

机构地区：[1]Tsinghua National Laboratory for Information Science and Technology,Department of Automation,Tsinghua University,Beijing 100084,China

出　　处：《Tsinghua Science and Technology》2012年第3期296-303,共8页清华大学学报（自然科学版（英文版）

基　　金：Partially supported by the National Natural Science Foundation of China (Nos. 90924002 and 60834001);the National Key Basic Research and Development (973) Program of China (No. 2006CB705506)

摘　　要：This paper describes how to derive quantitative information about the effect of traffic incidents on urban traffic flow from the raw measurements detected by sectional loop sensors. 3-he two critical parame- ters of the travel delay and queue length, which reflect the temporal and spatial properties of inci- dent-induced congestion, cannot be directly determined from commonly used loop sensors. The modified queuing diagram is used here to quantify incident-induced queues and travel delays on signalized arteries using sensor data from the targeted and upstream links. The method is tested using data generated by the VISSIM simulation model, with results indicating its efficiency and accuracy with an average relative travel delay error of 18.67% for all samples which falls to 8.07% for high volume and very high volume conditions.This paper describes how to derive quantitative information about the effect of traffic incidents on urban traffic flow from the raw measurements detected by sectional loop sensors. 3-he two critical parame- ters of the travel delay and queue length, which reflect the temporal and spatial properties of inci- dent-induced congestion, cannot be directly determined from commonly used loop sensors. The modified queuing diagram is used here to quantify incident-induced queues and travel delays on signalized arteries using sensor data from the targeted and upstream links. The method is tested using data generated by the VISSIM simulation model, with results indicating its efficiency and accuracy with an average relative travel delay error of 18.67% for all samples which falls to 8.07% for high volume and very high volume conditions.

关 键 词：traffic incident signalized intersections travel delay queue length 

分 类 号：U472.43[机械工程—车辆工程] U491.112[交通运输工程—载运工具运用工程]