@article{ref1,
title="A two-stage optimization framework for optimizing large-scale vehicular evacuation routing and scheduling operation with uninterrupted traffic flow",
journal="International journal of transportation",
year="2016",
author="Zhang, Xuechi and Haghani, Ali",
volume="4",
number="2",
pages="47-68",
abstract="In 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 paper 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 mixed integer programming (MIP) model, with the objectives of minimizing the total in-network time and network clearance 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.   Keywords: Vehicular Evacuation, Routing, Scheduling, Optimization, Heuristic  Copyright c 2016 SERSC<p /> <p>Language: en</p>",
language="en",
issn="2287-7940",
doi="10.14257/ijt.2016.4.2.04",
url="http://dx.doi.org/10.14257/ijt.2016.4.2.04"
}