Formation and Propagation of Local Traffic Jam

Large scale traffic congestion often stems from local traffic jam in single road or intersection. In this paper, macroscopic method was used to explore the formation and propagation of local traffic jam. It is found that (1) the propagation of traffic jam can be seen as the propagation of traffic si...

Full description

Saved in:
Bibliographic Details
Main Authors: Hong-sheng Qi, Dian-hai Wang, Peng Chen
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2013/748529
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850208410033717248
author Hong-sheng Qi
Dian-hai Wang
Peng Chen
author_facet Hong-sheng Qi
Dian-hai Wang
Peng Chen
author_sort Hong-sheng Qi
collection DOAJ
description Large scale traffic congestion often stems from local traffic jam in single road or intersection. In this paper, macroscopic method was used to explore the formation and propagation of local traffic jam. It is found that (1) the propagation of traffic jam can be seen as the propagation of traffic signal parameters, that is, virtual split and virtual green time; (2) for a road with endogenous flow, entrance location influences the jam propagation. With the same demand (upstream links flow and entrance flow), the upstream got more influence; (3) when a one-lane road is thoroughly congested, virtual signal parameters everywhere are the same as that at stop line; for a basic road, the virtual signals work in a cooperative manner; (4) phase sequence is one important parameter that influences traffic performances during peak hour where spill back of channelization takes place. The same phase plan for left-turn flow and through flow would be preferred; (5) signal coordination plays an important role in traffic jam propagation and hence effective network signal parameters should be designed to prevent jam from propagation to the whole network. These findings would serve as a basis for future network traffic congestion control.
format Article
id doaj-art-95f00b3d0f5042cc992296e42f2ee790
institution OA Journals
issn 1026-0226
1607-887X
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-95f00b3d0f5042cc992296e42f2ee7902025-08-20T02:10:16ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2013-01-01201310.1155/2013/748529748529Formation and Propagation of Local Traffic JamHong-sheng Qi0Dian-hai Wang1Peng Chen2College of Civil Engineering Architecture, Zhejiang University, 866, Yuhngtang Road, Hangzhou City, Zhejiang Province 310058, ChinaCollege of Civil Engineering Architecture, Zhejiang University, 866, Yuhngtang Road, Hangzhou City, Zhejiang Province 310058, ChinaDepartment of Civil Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, JapanLarge scale traffic congestion often stems from local traffic jam in single road or intersection. In this paper, macroscopic method was used to explore the formation and propagation of local traffic jam. It is found that (1) the propagation of traffic jam can be seen as the propagation of traffic signal parameters, that is, virtual split and virtual green time; (2) for a road with endogenous flow, entrance location influences the jam propagation. With the same demand (upstream links flow and entrance flow), the upstream got more influence; (3) when a one-lane road is thoroughly congested, virtual signal parameters everywhere are the same as that at stop line; for a basic road, the virtual signals work in a cooperative manner; (4) phase sequence is one important parameter that influences traffic performances during peak hour where spill back of channelization takes place. The same phase plan for left-turn flow and through flow would be preferred; (5) signal coordination plays an important role in traffic jam propagation and hence effective network signal parameters should be designed to prevent jam from propagation to the whole network. These findings would serve as a basis for future network traffic congestion control.http://dx.doi.org/10.1155/2013/748529
spellingShingle Hong-sheng Qi
Dian-hai Wang
Peng Chen
Formation and Propagation of Local Traffic Jam
Discrete Dynamics in Nature and Society
title Formation and Propagation of Local Traffic Jam
title_full Formation and Propagation of Local Traffic Jam
title_fullStr Formation and Propagation of Local Traffic Jam
title_full_unstemmed Formation and Propagation of Local Traffic Jam
title_short Formation and Propagation of Local Traffic Jam
title_sort formation and propagation of local traffic jam
url http://dx.doi.org/10.1155/2013/748529
work_keys_str_mv AT hongshengqi formationandpropagationoflocaltrafficjam
AT dianhaiwang formationandpropagationoflocaltrafficjam
AT pengchen formationandpropagationoflocaltrafficjam