International Journal of Computational Intelligence Systems

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Volume 9, Issue 6, December 2016, Pages 1055 - 1067

Proactive Control for Oversaturation Mitigation on Evacuation Network: a Multi-Agent Simulation Approach

Authors
Zhengfeng Huang1, 2, 3, Pengjun Zheng1, 2, 3, Yanqiang Ma*1, 2, 3, yanqiang.ma@yahoo.de, Guiyan Jiang1, 2, 3, Gang Ren4
1Faculty of Maritime and Transportation, Ningbo University, Ningbo, 315211, Zhejiang Province, China
2National Traffic Management Engineering & Technology Research Centre Ningbo University Sub-centre, Ningbo, 315211, Zhejiang Province, China
3Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technology, Nanjing, 210096, Jiangsu Province, China
4School of Transportation, Southeast University, China Nanjing, 210096, Jiangsu Province, China
Received 30 August 2015, Accepted 29 June 2016, Available Online 1 December 2016.
DOI
10.1080/18756891.2016.1256571How to use a DOI?
Keywords
Oversaturation Control; Evacuation Network; Multi-Agent Based Modeling; Throttling Strategy
Abstract

Using a multi-agent simulation approach composing of evacuee, cell, and signal, this study aims to proactively curb the oversaturation spread in evacuation and improve the evacuation efficiency. The specific innovation lies in the en-route path choice model and oversaturation control model. A logit model incorporating fuzzy multi-attribute utility is used to describe the path choice. A three-threshold throttling strategy is proposed to assign signal parameters for oversaturated intersections. A case study demonstrates that the multi-attribute utility performs effectively in the presentation of uncertain route-choice factors under evacuation background. The throttling strategy can decrease the total evacuation time by 7.6% in the supposed scenario.

Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
9 - 6
Pages
1055 - 1067
Publication Date
2016/12/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2016.1256571How to use a DOI?
Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Zhengfeng Huang
AU  - Pengjun Zheng
AU  - Yanqiang Ma*
AU  - Guiyan Jiang
AU  - Gang Ren
PY  - 2016
DA  - 2016/12/01
TI  - Proactive Control for Oversaturation Mitigation on Evacuation Network: a Multi-Agent Simulation Approach
JO  - International Journal of Computational Intelligence Systems
SP  - 1055
EP  - 1067
VL  - 9
IS  - 6
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2016.1256571
DO  - 10.1080/18756891.2016.1256571
ID  - Huang2016
ER  -