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Universitätsbibliothek Heidelberg
Verfasst von:Abdelghany, Ahmed
 Abdelghany, Khaled
 Mahmassani, Hani
 Alhalabi, Wael
Titel:Modeling framework for optimal evacuation of large-scale crowded pedestrian facilities
Verlagsort:Amsterdam
Verlag:Elsevier B.V
 Elsevier Sequoia S.A
Jahr:2014
Fussnoten:ObjectType-Article-1 ; ObjectType-Feature-2 ; SourceType-Scholarly Journals-1 ; content type line 23
Inhalt:•A novel approach for optimizing evacuation decisions for large-scale pedestrian facilities.•Optimizing exit gate decision and time interval at which each subarea starts evacuation.•Iterative approach where a genetic algorithm is used on the top of pedestrian simulation model.•The model converges to a good optimal evacuation plan within acceptable number of iterations.•Evacuation plan that outperforms a possible plan in which pedestrians exit from the closest gate. The paper presents a simulation–optimization modeling framework for the evacuation of large-scale pedestrian facilities with multiple exit gates. The framework integrates a genetic algorithm (GA) and a microscopic pedestrian simulation–assignment model. The GA searches for the optimal evacuation plan, while the simulation model guides the search through evaluating the quality of the generated evacuation plans. Evacuees are assumed to receive evacuation instructions in terms of the optimal exit gates and evacuation start times. The framework is applied to develop an optimal evacuation plan for a hypothetical crowded exhibition hall. The obtained results show that the model converges to a superior optimal evacuation plan within an acceptable number of iterations. In addition, the obtained evacuation plan outperforms conventional plans that implement nearest-gate immediate evacuation strategies.
ISSN:0377-2217
Titel Quelle:European journal of operational research
Jahr Quelle:2014
Band/Heft Quelle:237, 3, S. 1105-1118
DOI:doi:10.1016/j.ejor.2014.02.054
URL:http://www.ub.uni-heidelberg.de/cgi-bin/edok?dok=https%3A%2F%2Ffanyv88.com%3A443%2Fhttps%2Fdx.doi.org%2F10.1016%2Fj.ejor.2014.02.054
 http://www.ub.uni-heidelberg.de/cgi-bin/edok?dok=https%3A%2F%2Ffanyv88.com%3A443%2Fhttps%2Fsearch.proquest.com%2Fdocview%2F1526284023
 http://www.ub.uni-heidelberg.de/cgi-bin/edok?dok=https%3A%2F%2Ffanyv88.com%3A443%2Fhttps%2Fsearch.proquest.com%2Fdocview%2F1685773822
 DOI: https://doi.org/10.1016/j.ejor.2014.02.054
Sprache:English
Sach-SW:Assignment problem
 Cellular automata
 Computer simulation
 Crowd dynamics
 Evacuation
 Evacuations & rescues
 Exhibitions
 Gates
 Genetic algorithms
 Mathematical models
 Optimization
 Pedestrians
 Searching
 Simulation
 Studies
Verknüpfungen:→ Sammelwerk


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