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Optimization and Planning of Emergency Evacuation Routes Considering Traffic Control
Emergencies, especially major ones, happen fast, randomly, as well as unpredictably, and generally will bring great harm to people's life and the economy. Therefore, governments and lots of professionals devote themselves to taking effective measures and providing optimal evacuation plans. This...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4060166/ https://www.ncbi.nlm.nih.gov/pubmed/24991636 http://dx.doi.org/10.1155/2014/164031 |
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author | Li, Guo Zhang, Lijun Wang, Zhaohua |
author_facet | Li, Guo Zhang, Lijun Wang, Zhaohua |
author_sort | Li, Guo |
collection | PubMed |
description | Emergencies, especially major ones, happen fast, randomly, as well as unpredictably, and generally will bring great harm to people's life and the economy. Therefore, governments and lots of professionals devote themselves to taking effective measures and providing optimal evacuation plans. This paper establishes two different emergency evacuation models on the basis of the maximum flow model (MFM) and the minimum-cost maximum flow model (MC-MFM), and proposes corresponding algorithms for the evacuation from one source node to one designated destination (one-to-one evacuation). Ulteriorly, we extend our evaluation model from one source node to many designated destinations (one-to-many evacuation). At last, we make case analysis of evacuation optimization and planning in Beijing, and obtain the desired evacuation routes and effective traffic control measures from the perspective of sufficiency and practicability. Both analytical and numerical results support that our models are feasible and practical. |
format | Online Article Text |
id | pubmed-4060166 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-40601662014-07-02 Optimization and Planning of Emergency Evacuation Routes Considering Traffic Control Li, Guo Zhang, Lijun Wang, Zhaohua ScientificWorldJournal Research Article Emergencies, especially major ones, happen fast, randomly, as well as unpredictably, and generally will bring great harm to people's life and the economy. Therefore, governments and lots of professionals devote themselves to taking effective measures and providing optimal evacuation plans. This paper establishes two different emergency evacuation models on the basis of the maximum flow model (MFM) and the minimum-cost maximum flow model (MC-MFM), and proposes corresponding algorithms for the evacuation from one source node to one designated destination (one-to-one evacuation). Ulteriorly, we extend our evaluation model from one source node to many designated destinations (one-to-many evacuation). At last, we make case analysis of evacuation optimization and planning in Beijing, and obtain the desired evacuation routes and effective traffic control measures from the perspective of sufficiency and practicability. Both analytical and numerical results support that our models are feasible and practical. Hindawi Publishing Corporation 2014 2014-05-29 /pmc/articles/PMC4060166/ /pubmed/24991636 http://dx.doi.org/10.1155/2014/164031 Text en Copyright © 2014 Guo Li et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Guo Zhang, Lijun Wang, Zhaohua Optimization and Planning of Emergency Evacuation Routes Considering Traffic Control |
title | Optimization and Planning of Emergency Evacuation Routes Considering Traffic Control |
title_full | Optimization and Planning of Emergency Evacuation Routes Considering Traffic Control |
title_fullStr | Optimization and Planning of Emergency Evacuation Routes Considering Traffic Control |
title_full_unstemmed | Optimization and Planning of Emergency Evacuation Routes Considering Traffic Control |
title_short | Optimization and Planning of Emergency Evacuation Routes Considering Traffic Control |
title_sort | optimization and planning of emergency evacuation routes considering traffic control |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4060166/ https://www.ncbi.nlm.nih.gov/pubmed/24991636 http://dx.doi.org/10.1155/2014/164031 |
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