当前位置: 首页> 国外交通期刊数据库 >详情
原文传递 Shockwave-based queue estimation approach for undersaturated and oversaturated signalized intersections using multi-source detection data
题名: Shockwave-based queue estimation approach for undersaturated and oversaturated signalized intersections using multi-source detection data
其他题名: Akcelik,R.(1999).A Queue Model for HCM 2000.Vermont South,Australia:ARRB Transportation Research Ltd.
正文语种: 英文
作者: Zhongyu Wang
关键词: multi-source detection data;queue length;traffic shockwave theory;traffic signals
摘要: With the progress of information and sensing technologies, estimating vehicular queue length at signalized intersections becomes feasible and has attracted considerable attention. The existing studies provided a solid theoretical foundation for the estimation; however, the studies have some restrictions or limitations more or less. This paper presents a new methodology for estimating vehicular queue length at signalized intersections using multi-source detection data under both undersaturated and oversaturated conditions. The methodology applies the shockwave theory to model queue dynamics. Using data from probe vehicles and point detectors, analytical formulations for calculating the maximum and minimum (residual) queue lengths of each cycle are developed. Ground truth data were collected from numerical experiments conducted at two intersections in Shanghai, China, to verify the proposed methodology. It is found that themethodology hasmean absolute percentage errors of 17.09% and 12.28%, respectively, for maximum queue length estimation in two tests, which are reasonably effective. However, the methodology is unsatisfactory in estimating the residual queue length. Other limitations of the proposed models and algorithms are also discussed in the paper.
出版年: 2017
论文唯一标识: J-96Y2017V21N03001
英文栏目名称: Articles
期刊名称: Journal of Intelligent Transportation Systems Technology Planning and Operations
拼音刊名(出版物代码): J-96
卷: 21
期: 03
页码: 167-178
检索历史
应用推荐