K-Shortest-Path-Based Evacuation Routing with Police Resource Allocation in City Transportation Networks

Emergency evacuation aims to transport people from dangerous places to safe shelters as quickly as possible. Police play an important role in the evacuation process, as they can handle traffic accidents immediately and help people move smoothly on roads. This paper investigates an evacuation routing...

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Vydané v:	PloS one Ročník 10; číslo 7; s. e0131962
Hlavní autori:	He, Yunyue, Liu, Zhong, Shi, Jianmai, Wang, Yishan, Zhang, Jiaming, Liu, Jinyuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Public Library of Science 30.07.2015 Public Library of Science (PLoS)
Predmet:	Accidents, Traffic Algorithms Analysis Cities Civil Defense Civilian evacuation Computer applications Computer Simulation Disaster Planning - methods Efficiency Emergencies Emergency preparedness Emergency Shelter - methods Emergency vehicles Engineering Evacuation Evacuation routing Evacuations & rescues Heuristic Heuristic methods Humans Information systems Integer programming International conferences Laboratories Linear programming Linearization Models, Theoretical Optimization Police Resource Allocation Resource utilization Roads & highways Route planning Routing Science Shelters Shortest-path problems Traffic accidents Traffic accidents & safety Traffic congestion Transportation - methods Transportation industry Transportation networks Transportation planning Urban transportation
ISSN:	1932-6203, 1932-6203
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Abstract	Emergency evacuation aims to transport people from dangerous places to safe shelters as quickly as possible. Police play an important role in the evacuation process, as they can handle traffic accidents immediately and help people move smoothly on roads. This paper investigates an evacuation routing problem that involves police resource allocation. We propose a novel k-th-shortest-path-based technique that uses explicit congestion control to optimize evacuation routing and police resource allocation. A nonlinear mixed-integer programming model is presented to formulate the problem. The model's objective is to minimize the overall evacuation clearance time. Two algorithms are given to solve the problem. The first one linearizes the original model and solves the linearized problem with CPLEX. The second one is a heuristic algorithm that uses a police resource utilization efficiency index to directly solve the original model. This police resource utilization efficiency index significantly aids in the evaluation of road links from an evacuation throughput perspective. The proposed algorithms are tested with a number of examples based on real data from cities of different sizes. The computational results show that the police resource utilization efficiency index is very helpful in finding near-optimal solutions. Additionally, comparing the performance of the heuristic algorithm and the linearization method by using randomly generated examples indicates that the efficiency of the heuristic algorithm is superior.
AbstractList	Emergency evacuation aims to transport people from dangerous places to safe shelters as quickly as possible. Police play an important role in the evacuation process, as they can handle traffic accidents immediately and help people move smoothly on roads. This paper investigates an evacuation routing problem that involves police resource allocation. We propose a novel k-th-shortest-path-based technique that uses explicit congestion control to optimize evacuation routing and police resource allocation. A nonlinear mixed-integer programming model is presented to formulate the problem. The model's objective is to minimize the overall evacuation clearance time. Two algorithms are given to solve the problem. The first one linearizes the original model and solves the linearized problem with CPLEX. The second one is a heuristic algorithm that uses a police resource utilization efficiency index to directly solve the original model. This police resource utilization efficiency index significantly aids in the evaluation of road links from an evacuation throughput perspective. The proposed algorithms are tested with a number of examples based on real data from cities of different sizes. The computational results show that the police resource utilization efficiency index is very helpful in finding near-optimal solutions. Additionally, comparing the performance of the heuristic algorithm and the linearization method by using randomly generated examples indicates that the efficiency of the heuristic algorithm is superior.
Audience	Academic
Author	Liu, Jinyuan Shi, Jianmai Liu, Zhong Zhang, Jiaming He, Yunyue Wang, Yishan
AuthorAffiliation	1 Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, Hunan, China Bangladesh University of Engineering and Technology, BANGLADESH 3 Department of Management, National University of Defense Technology, Changsha, Hunan, China 2 Beijing Special Engineering Design and Research Institute, Beijing, China
AuthorAffiliation_xml	– name: 1 Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, Hunan, China – name: 3 Department of Management, National University of Defense Technology, Changsha, Hunan, China – name: 2 Beijing Special Engineering Design and Research Institute, Beijing, China – name: Bangladesh University of Engineering and Technology, BANGLADESH
Author_xml	– sequence: 1 givenname: Yunyue surname: He fullname: He, Yunyue – sequence: 2 givenname: Zhong surname: Liu fullname: Liu, Zhong – sequence: 3 givenname: Jianmai surname: Shi fullname: Shi, Jianmai – sequence: 4 givenname: Yishan surname: Wang fullname: Wang, Yishan – sequence: 5 givenname: Jiaming surname: Zhang fullname: Zhang, Jiaming – sequence: 6 givenname: Jinyuan surname: Liu fullname: Liu, Jinyuan
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/26226109$$D View this record in MEDLINE/PubMed
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Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-3 content type line 23 ObjectType-Review-1 Conceived and designed the experiments: YH JS ZL. Performed the experiments: YH ZL YW. Analyzed the data: YH JS JZ. Contributed reagents/materials/analysis tools: YH JL. Wrote the paper: YH JS YW JZ. Competing Interests: The authors have declared that no competing interests exist.
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Snippet	Emergency evacuation aims to transport people from dangerous places to safe shelters as quickly as possible. Police play an important role in the evacuation...
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SubjectTerms	Accidents, Traffic Algorithms Analysis Cities Civil Defense Civilian evacuation Computer applications Computer Simulation Disaster Planning - methods Efficiency Emergencies Emergency preparedness Emergency Shelter - methods Emergency vehicles Engineering Evacuation Evacuation routing Evacuations & rescues Heuristic Heuristic methods Humans Information systems Integer programming International conferences Laboratories Linear programming Linearization Models, Theoretical Optimization Police Resource Allocation Resource utilization Roads & highways Route planning Routing Science Shelters Shortest-path problems Traffic accidents Traffic accidents & safety Traffic congestion Transportation - methods Transportation industry Transportation networks Transportation planning Urban transportation
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Title	K-Shortest-Path-Based Evacuation Routing with Police Resource Allocation in City Transportation Networks
URI	https://www.ncbi.nlm.nih.gov/pubmed/26226109 https://www.proquest.com/docview/1700336254 https://www.proquest.com/docview/1701891466 https://pubmed.ncbi.nlm.nih.gov/PMC4520475 https://doaj.org/article/2bd1dbdd1eea48d3bd7501f2bd931cbe http://dx.doi.org/10.1371/journal.pone.0131962
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