Dynamic Analysis of Traffic State and Congestion Propagation on Bidirectional Grid Network

Many traffic problems in China such as traffic jams and air pollutions are mainly caused by the increasing traffic volume. In order to alleviate the traffic congestion and improve the network performance, the analysis of traffic state and congestion propagation has attracted a great interest. In thi...

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Main Authors: Shu-bin Li, Bai-bai Fu, Jian-feng Zheng
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2013/165086
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author Shu-bin Li
Bai-bai Fu
Jian-feng Zheng
author_facet Shu-bin Li
Bai-bai Fu
Jian-feng Zheng
author_sort Shu-bin Li
collection DOAJ
description Many traffic problems in China such as traffic jams and air pollutions are mainly caused by the increasing traffic volume. In order to alleviate the traffic congestion and improve the network performance, the analysis of traffic state and congestion propagation has attracted a great interest. In this paper, an improved mesoscopic traffic flow model is proposed to capture the speed-density relationship on segments, the length of queue, the flow on links, and so forth, The self-developed dynamic traffic simulation software (DynaCHINA) is used to reproduce the traffic congestion and propagation in a bidirectional grid network for different demand levels. The simulation results show that the proposed model and method are capable of capturing the real traffic states. Hence, our results can provide decision supports for the urban traffic management and planning.
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institution Kabale University
issn 1026-0226
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language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-ca98c17b3eed4e4c94716027901ed7382025-02-03T06:05:30ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2013-01-01201310.1155/2013/165086165086Dynamic Analysis of Traffic State and Congestion Propagation on Bidirectional Grid NetworkShu-bin Li0Bai-bai Fu1Jian-feng Zheng2Public Security Department, Shandong Police College, Jinan 250014, ChinaSchool of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250101, ChinaMOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, ChinaMany traffic problems in China such as traffic jams and air pollutions are mainly caused by the increasing traffic volume. In order to alleviate the traffic congestion and improve the network performance, the analysis of traffic state and congestion propagation has attracted a great interest. In this paper, an improved mesoscopic traffic flow model is proposed to capture the speed-density relationship on segments, the length of queue, the flow on links, and so forth, The self-developed dynamic traffic simulation software (DynaCHINA) is used to reproduce the traffic congestion and propagation in a bidirectional grid network for different demand levels. The simulation results show that the proposed model and method are capable of capturing the real traffic states. Hence, our results can provide decision supports for the urban traffic management and planning.http://dx.doi.org/10.1155/2013/165086
spellingShingle Shu-bin Li
Bai-bai Fu
Jian-feng Zheng
Dynamic Analysis of Traffic State and Congestion Propagation on Bidirectional Grid Network
Discrete Dynamics in Nature and Society
title Dynamic Analysis of Traffic State and Congestion Propagation on Bidirectional Grid Network
title_full Dynamic Analysis of Traffic State and Congestion Propagation on Bidirectional Grid Network
title_fullStr Dynamic Analysis of Traffic State and Congestion Propagation on Bidirectional Grid Network
title_full_unstemmed Dynamic Analysis of Traffic State and Congestion Propagation on Bidirectional Grid Network
title_short Dynamic Analysis of Traffic State and Congestion Propagation on Bidirectional Grid Network
title_sort dynamic analysis of traffic state and congestion propagation on bidirectional grid network
url http://dx.doi.org/10.1155/2013/165086
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AT baibaifu dynamicanalysisoftrafficstateandcongestionpropagationonbidirectionalgridnetwork
AT jianfengzheng dynamicanalysisoftrafficstateandcongestionpropagationonbidirectionalgridnetwork