Cargando…
Resilience-based optimization model for emergency bus bridging and dispatching in response to metro operational disruptions
Bus-bridging evacuation services can significantly enhance metro resilience during operational disruptions. A resilience-based optimization model was proposed to generate a bus bridging and dispatching plan. The objective of the model is to maximize the resilience index of evacuated passengers while...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057812/ https://www.ncbi.nlm.nih.gov/pubmed/36989222 http://dx.doi.org/10.1371/journal.pone.0277577 |
_version_ | 1785016463331950592 |
---|---|
author | Zhang, Jiefei Ren, Gang Song, Jianhua |
author_facet | Zhang, Jiefei Ren, Gang Song, Jianhua |
author_sort | Zhang, Jiefei |
collection | PubMed |
description | Bus-bridging evacuation services can significantly enhance metro resilience during operational disruptions. A resilience-based optimization model was proposed to generate a bus bridging and dispatching plan. The objective of the model is to maximize the resilience index of evacuated passengers while meeting pre-established restrictions on operational indicators and resources. The proposed approach consists of three steps: representing an integrated network based on a hyper-network, generating candidate bus-bridging routes using the K-shortest paths algorithm, and solving the optimization model using a genetic algorithm to determine the optimal vehicle allocation among the candidate routes. The Nanjing metro network was used to demonstrate the proposed model. The results show that the average waiting time is the main reason for travel delays, especially in short-distance travel. Furthermore, the cycling strategy is beneficial for reducing the average travel delay and improving evacuation efficiency with limited vehicles. In particular, when resources are very limited, the vehicle cycling strategy may have significant advantages over fixed vehicles for servicing fixed lines. The proposed model could be widely used in emergency response to quickly and efficiently evacuate passengers. |
format | Online Article Text |
id | pubmed-10057812 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100578122023-03-30 Resilience-based optimization model for emergency bus bridging and dispatching in response to metro operational disruptions Zhang, Jiefei Ren, Gang Song, Jianhua PLoS One Research Article Bus-bridging evacuation services can significantly enhance metro resilience during operational disruptions. A resilience-based optimization model was proposed to generate a bus bridging and dispatching plan. The objective of the model is to maximize the resilience index of evacuated passengers while meeting pre-established restrictions on operational indicators and resources. The proposed approach consists of three steps: representing an integrated network based on a hyper-network, generating candidate bus-bridging routes using the K-shortest paths algorithm, and solving the optimization model using a genetic algorithm to determine the optimal vehicle allocation among the candidate routes. The Nanjing metro network was used to demonstrate the proposed model. The results show that the average waiting time is the main reason for travel delays, especially in short-distance travel. Furthermore, the cycling strategy is beneficial for reducing the average travel delay and improving evacuation efficiency with limited vehicles. In particular, when resources are very limited, the vehicle cycling strategy may have significant advantages over fixed vehicles for servicing fixed lines. The proposed model could be widely used in emergency response to quickly and efficiently evacuate passengers. Public Library of Science 2023-03-29 /pmc/articles/PMC10057812/ /pubmed/36989222 http://dx.doi.org/10.1371/journal.pone.0277577 Text en © 2023 Zhang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Zhang, Jiefei Ren, Gang Song, Jianhua Resilience-based optimization model for emergency bus bridging and dispatching in response to metro operational disruptions |
title | Resilience-based optimization model for emergency bus bridging and dispatching in response to metro operational disruptions |
title_full | Resilience-based optimization model for emergency bus bridging and dispatching in response to metro operational disruptions |
title_fullStr | Resilience-based optimization model for emergency bus bridging and dispatching in response to metro operational disruptions |
title_full_unstemmed | Resilience-based optimization model for emergency bus bridging and dispatching in response to metro operational disruptions |
title_short | Resilience-based optimization model for emergency bus bridging and dispatching in response to metro operational disruptions |
title_sort | resilience-based optimization model for emergency bus bridging and dispatching in response to metro operational disruptions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057812/ https://www.ncbi.nlm.nih.gov/pubmed/36989222 http://dx.doi.org/10.1371/journal.pone.0277577 |
work_keys_str_mv | AT zhangjiefei resiliencebasedoptimizationmodelforemergencybusbridginganddispatchinginresponsetometrooperationaldisruptions AT rengang resiliencebasedoptimizationmodelforemergencybusbridginganddispatchinginresponsetometrooperationaldisruptions AT songjianhua resiliencebasedoptimizationmodelforemergencybusbridginganddispatchinginresponsetometrooperationaldisruptions |