Evaluating urban traffic jam based on a Urban Cell Transmission Model (UCTM)

Bo Xie, Yingwen Chen, Ming Xu
{"title":"Evaluating urban traffic jam based on a Urban Cell Transmission Model (UCTM)","authors":"Bo Xie, Yingwen Chen, Ming Xu","doi":"10.1109/ITST.2012.6425168","DOIUrl":null,"url":null,"abstract":"The problem of traffic congestion has become a major and costly problem in many cities. Modeling, simulation and estimation of urban traffic are necessary, particularly mathematic models. This paper propose a novel mathematic model based on CTM named Urban Cell Transmission Model (UCTM), which is a macroscopic model for simulating urban traffic. We use a fixed proportion of turn whenever vehicles meet a junction instead of origin-destination matrix. We consider the density of each cell composed of three different directions for inflow and outflow as left-turning, ahead, right-turning. From the computational results of numerical examples, we find that the jam propagates fast at the beginning and has its upper bound of jam size. We also study jam dissipation, and we observe that both the Critical Time of Block Clearance (CTBC) and the initial density have significant effect on the jam propagation and dissipation.","PeriodicalId":143706,"journal":{"name":"2012 12th International Conference on ITS Telecommunications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 12th International Conference on ITS Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITST.2012.6425168","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The problem of traffic congestion has become a major and costly problem in many cities. Modeling, simulation and estimation of urban traffic are necessary, particularly mathematic models. This paper propose a novel mathematic model based on CTM named Urban Cell Transmission Model (UCTM), which is a macroscopic model for simulating urban traffic. We use a fixed proportion of turn whenever vehicles meet a junction instead of origin-destination matrix. We consider the density of each cell composed of three different directions for inflow and outflow as left-turning, ahead, right-turning. From the computational results of numerical examples, we find that the jam propagates fast at the beginning and has its upper bound of jam size. We also study jam dissipation, and we observe that both the Critical Time of Block Clearance (CTBC) and the initial density have significant effect on the jam propagation and dissipation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于城市小区传输模型(UCTM)的城市交通拥堵评价
交通拥堵问题已成为许多城市面临的一个重大且代价高昂的问题。城市交通的建模、仿真和估计是必要的,特别是数学模型。本文在CTM的基础上提出了一种新的数学模型——城市小区传输模型(Urban Cell Transmission model, UCTM),这是一种模拟城市交通的宏观模型。我们使用一个固定比例的转弯,当车辆遇到一个路口,而不是出发地-目的地矩阵。我们考虑由三个不同的流入和流出方向组成的每个细胞的密度为左转弯、前转弯、右转弯。数值算例的计算结果表明,阻塞在初始阶段传播速度较快,并且存在堵塞大小的上界。研究结果表明,阻塞间隙临界时间(Critical Time of Block Clearance, CTBC)和初始密度对阻塞的传播和消散有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Travel time prediction by weighted fusion of probing vehicles and vehicle detectors data sources Estimation of time-dependent intersection turning proportions for urban signal controls Congestion control routing protocol using priority Control for ad-hoc networks in an emergency Performance evaluation of real-time MEMS INS/GPS integration with ZUPT/ZIHR/NHC for land navigation Decision-tree based green driving suggestion system for carbon emission reduction
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1