Mathematical models for evacuation planning in urban areas

Disasters like floods, hurricanes, chemical or nuclear accidents may cause the necessity to evacuate the affected area. The evacuation of  the urban area needs to be planned carefully. One issue is the reorganization of the traffic routing. Congested urban areas  have usually complex street networks...

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Detalles Bibliográficos
Autor principal: Bretschneider, Sarah (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berlin ; New York : Springer Science+Business Media 2012.
Edición:1st ed. 2013.
Colección:Lecture notes in economics and mathematical systems ; 659.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009457650806719
Descripción
Sumario:Disasters like floods, hurricanes, chemical or nuclear accidents may cause the necessity to evacuate the affected area. The evacuation of  the urban area needs to be planned carefully. One issue is the reorganization of the traffic routing. Congested urban areas  have usually complex street networks that are composed of many intersections with streets connecting them. The population density of a congested urban area is usually high and the street network is already used to capacity during rush hour traffic. The considered problem of this work is the reorganization of the traffic routing of an urban area for the case of an emergency mass evacuation. Especially aspects of the evacuation like safety, avoidance of delays and the total system travel time are taken into account. Combinatorial and graph theoretical aspects are adapted for the evacuation problem and highlight issues concerning especially conflicts within intersections. This work gives an extensive summary of literature of evacuation of urban areas. Mixed-integer linear programming models are developed for evacuation problems and heuristic algorithms are provided and tested.
Notas:Description based upon print version of record.
Descripción Física:1 online resource (208 p.)
Bibliografía:Includes bibliographical references.
ISBN:9781283626965
9786613939418
9783642287596