Articles | Volume 15, issue 3
https://doi.org/10.5194/nhess-15-687-2015
https://doi.org/10.5194/nhess-15-687-2015
Research article
 | 
30 Mar 2015
Research article |  | 30 Mar 2015

A spatiotemporal optimization model for the evacuation of the population exposed to flood hazard

H. Alaeddine, K. Serrhini, M. Maizia, and E. Néron

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Cited articles

Alaeddine, H., Maïzia, M., Serrhini, K., and Néron, E.: A mezoscopic vehicles pursuit model for managing traffic during a massive evacuation, University of Tours, Tours, France, 2014a.
Alaeddine, H., Néron, E., Serrhini, K., and Maïzia, M.: A novel polynomial algorithm for the lexicographic maximum dynamic flow problem with several sources applied to evacuation planning, University of Tours, Tours, France, 2014b.
Alaeddine, H., Serrhini, K., Maïzia, M., and Néron, E.: Finding the K-best paths in evacuation network, University of Tours, Tours, France, 2014c.
Alaeddine, H., Serrhini, K., Néron, E., and Maïzia, M.: Traffic assignment algorithms for planning a mass vehicular evacuation, University of Tours, Tours, France, 2014d.
Ardekani, S., Ghandehari, M., and Nepal, S.: Macroscopic speed-flow models for characterization of freeway and managed lane, The University of Texas, Department of Civil Engineering, Arlington, USA, 2011.
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The importance of managing the crisis caused by floods requires the development of effective evacuation systems. An evacuation system must take into account certain constraints such as network traffic, accessibility and vulnerability. The main objective of this work is to provide assistance to technical services and rescue forces in terms of accessibility by offering itineraries relating to the rescue and evacuation of people and property. Evacuation plan must avoid congestion on road network.
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