首页 | 本学科首页   官方微博 | 高级检索  
     

多信号交叉口干线行程时间特性分析
引用本文:王福建,卢一笑,金盛. 多信号交叉口干线行程时间特性分析[J]. 交通运输系统工程与信息, 2021, 21(4): 132-139. DOI: 10.16097/j.cnki.1009-6744.2021.04.016
作者姓名:王福建  卢一笑  金盛
作者单位:浙江大学,建筑工程学院,杭州310058
基金项目:国家重点研发计划;国家自然科学基金
摘    要:城市道路多信号交叉口影响下的行程时间分布及可靠性是交通流理论研究中的重要方向之一.本文基于灰色关联理论建立信号协调控制下的多信号交叉口行程时间影响因素模型.首先,对车牌识别数据进行预处理,得到路段和干线行程时间数据;然后,利用Burr分布和高斯混合模型对数据进行分布拟合,并进行拟合优度检验;最后,利用灰色关联法分析交叉...

关 键 词:交通工程  行程时间特性  Burr分布  高斯混合模型  影响因素
收稿时间:2021-04-27

Travel Time Characteristics Analysis of Arterial Roads with Multiple Signalized Intersections
WANG Fu-jian,LU Yi-xiao,JIN Sheng. Travel Time Characteristics Analysis of Arterial Roads with Multiple Signalized Intersections[J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(4): 132-139. DOI: 10.16097/j.cnki.1009-6744.2021.04.016
Authors:WANG Fu-jian  LU Yi-xiao  JIN Sheng
Affiliation:College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
Abstract:The travel time distribution and reliability characteristics of urban arterial roads with multiple signalizedintersections are one of the important branches of traffic flow theory. Based on the grey relational analysis, this paperestablishes a model of travel time influencing factors of multiple signalized intersections under signal coordinationcontrol. Firstly, the automatic number plate recognition (ANPR) data is preprocessed to get travel time data; then, theBurr distribution and the Gaussian mixture model are used to fit the travel time distribution and conduct goodness of fittest; finally, the grey correlation method is used to analyze the relationship between the number of signalizedintersections, route length, route traffic flow and the travel time characteristics. The results show that the link traveltime distribution is bimodal, and the Gaussian mixture model is suitable for the fitting of link travel time; the Burrdistribution can better describe the characteristics of right deviation of the arterial roads with multiple signalizedintersections. There is a certain correlation between the number of signalized intersections, route length, route trafficflow and travel time characteristics, and the influence of the route length is more significant. With the increase of routelength, the travel time tends to a stable unimodal distribution, and the fluctuation decreases and the reliability increases.
Keywords:traffic engineering   travel time characteristics   Burr distribution   Gaussian mixture model   influence factor  
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《交通运输系统工程与信息》浏览原始摘要信息
点击此处可从《交通运输系统工程与信息》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号