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Mathematical Models for Evacuation Planning in Urban Areas [electronic resource] / by Sarah Bretschneider.

By: Bretschneider, Sarah [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Economics and Mathematical Systems: 659Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XVI, 193 p. 79 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642287596.Subject(s): Business | Operations research | Decision making | Algorithms | Mathematical optimization | Graph theory | Regional economics | Spatial economics | Business and Management | Operation Research/Decision Theory | Optimization | Discrete Optimization | Algorithms | Regional/Spatial Science | Graph TheoryAdditional physical formats: Printed edition:: No titleDDC classification: 658.40301 Online resources: Click here to access online
Contents:
Introduction -- Literature Review -- An Urban Evacuation Problem -- A Relaxation-Based Heuristic Approach for the Mixed-Integer Evacuation Model -- A Pattern-Based Evacuation Planning Model for Urban Areas -- A Two-Staged Heuristic Approach -- A Multicommodity Urban Evacuation Problem -- A Four-Staged Heuristic Approach to Solve the Urban Multicommodity Model -- Conclusions and Future Research -- Information About the Computational Study of the Relaxation-Based Approach.
In: Springer eBooksSummary: 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.
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Introduction -- Literature Review -- An Urban Evacuation Problem -- A Relaxation-Based Heuristic Approach for the Mixed-Integer Evacuation Model -- A Pattern-Based Evacuation Planning Model for Urban Areas -- A Two-Staged Heuristic Approach -- A Multicommodity Urban Evacuation Problem -- A Four-Staged Heuristic Approach to Solve the Urban Multicommodity Model -- Conclusions and Future Research -- Information About the Computational Study of the Relaxation-Based Approach.

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.

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