Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering

Dynamic Analysis of Variable Speed Limit Control for Traffic Accident Management

Authors
Qingqing Gu, Xingang Li, Yao Xiao
Corresponding Author
Qingqing Gu
Available Online July 2016.
DOI
10.2991/icsnce-16.2016.13How to use a DOI?
Keywords
Traffic accident; Variable speed limit; Cellular automata; Traffic flow
Abstract

A two-lane cellular automaton model is developed to investigate the effects of variable speed limit (VSL) control strategy on alleviating accident induced congestion and improving traffic efficiency. The impact of accident duration on traffic dynamics are analyzed by counting the downstream discharge flow rates and drawing the spatial-temporal diagram. The effectiveness of VSL control strategy is then investigated. The simulation results indicate that the longer the accident duration, the more serious the traffic congestion and the lower the system discharge flow rates are; with appropriate speed limit value and speed limit region length, traffic congestion induced by accident can be alleviated and even the system discharge flow can be increased in some extend.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
Series
Advances in Engineering Research
Publication Date
July 2016
ISBN
10.2991/icsnce-16.2016.13
ISSN
2352-5401
DOI
10.2991/icsnce-16.2016.13How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qingqing Gu
AU  - Xingang Li
AU  - Yao Xiao
PY  - 2016/07
DA  - 2016/07
TI  - Dynamic Analysis of Variable Speed Limit Control for Traffic Accident Management
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 62
EP  - 70
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.13
DO  - 10.2991/icsnce-16.2016.13
ID  - Gu2016/07
ER  -