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Large-scale Evacuation Routing and Scheduling Optimization with Uninterrupted Traffic Flow

dc.contributor.advisorHaghani, Alien_US
dc.contributor.authorZhang, Xuechien_US
dc.date.accessioned2014-06-24T06:18:03Z
dc.date.available2014-06-24T06:18:03Z
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1903/15397
dc.description.abstractIn many emergency management operations, an efficient evacuation strategy is of great importance because if it is successful, it has the ability to significantly reduce the loss of property and human life. This thesis develops a routing and scheduling optimization framework for large-scale vehicular evacuation. To guarantee high optimization efficiency, we consider the routing and scheduling optimization as a two-stage problem instead of optimizing them as a whole (i.e. using time-space network). In the first phase, a multiple-objective binary programming model, with the objectives of minimizing the network clearance time and total in-network time is proposed to find an optimal routing plan. In the second phase, a simulation-based scheduling Heuristic is proposed to dynamically generate the time-dependent departure rates. A real-world evacuation scenario in Eastern Shore of Maryland is studied by using the proposed optimization model. The calculation results indicate a good optimization capability and flexibility of the proposed model.en_US
dc.language.isoenen_US
dc.titleLarge-scale Evacuation Routing and Scheduling Optimization with Uninterrupted Traffic Flowen_US
dc.typeThesisen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentCivil Engineeringen_US
dc.subject.pqcontrolledCivil engineeringen_US
dc.subject.pquncontrolledEvacuation Optimizationen_US
dc.subject.pquncontrolledHeuristicen_US
dc.subject.pquncontrolledMultiple Objectivesen_US
dc.subject.pquncontrolledRouting and Schedulingen_US


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