咨询与建议

看过本文的还看了

相关文献

该作者的其他文献

文献详情 >Cycle-by-Cycle Queue Length Es... 收藏

Cycle-by-Cycle Queue Length Estimation for Signalized Intersections Using Multi-Source Data

Cycle-by-Cycle Queue Length Estimation for Signalized Intersections Using Multi-Source Data

作     者:Zhongyu Wang Qing Cai Bing Wu Yinhai Wang Linbo Li 

作者机构:Key Laboratory of Road and Traffic Engineering of Ministry of EducationTongji University Dept. of Civil and Environmental EngineeringUniversity of Washington 

出 版 物:《Journal of Harbin Institute of Technology(New Series)》 (哈尔滨工业大学学报(英文版))

年 卷 期:2015年第22卷第2期

页      面:86-93页

核心收录:

学科分类:0810[工学-信息与通信工程] 08[工学] 082303[工学-交通运输规划与管理] 0805[工学-材料科学与工程(可授工学、理学学位)] 082302[工学-交通信息工程及控制] 0812[工学-计算机科学与技术(可授工学、理学学位)] 0823[工学-交通运输工程] 

基  金:Sponsored by the National Natural Science Foundation of China(Grant No.51138003) 

主  题:queue length estimation multi-source data traffic signals traffic shockwave theory 

摘      要:In order to estimate vehicular queue length at signalized intersections accurately and overcome the shortcomings and restrictions of existing studies especially those based on shockwave theory,a new methodology is presented for estimating vehicular queue length using data from both point detectors and probe vehicles. The methodology applies the shockwave theory to model queue evolution over time and space. Using probe vehicle locations and times as well as point detector measured traffic states,analytical formulations for calculating the maximum and minimum( residual) queue length are developed. The proposed methodology is verified using ground truth data collected from numerical experiments conducted in Shanghai,China. It is found that the methodology has a mean absolute percentage error of 17. 09%,which is reasonably effective in estimating the queue length at traffic signalized intersections. Limitations of the proposed models and algorithms are also discussed in the paper.

读者评论 与其他读者分享你的观点

用户名:未登录
我的评分