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Efficient contraflow algorithms for quickest evacuation planning

Science China Mathematics 2018年第11期61卷 2079-2100页

作者： urmila pyakurel Hari Nandan Nath Tanka Nath Dhamala Central Department of Mathematics Tribhuvan University Department of Mathematics Bhaktapur Multiple Campus Tribhuvan University

The optimization models and algorithms with their implementations on flow over time problems have been an emerging field of research because of largely increasing human-created and natural disasters *** an optimal use of transportation network to shift affected people and normalize the disastrous situation as quickly and efficiently as possible,contraflow configuration is one of the highly applicable operations research(OR)*** increases the outbound road capacities by reversing the direction of arcs towards the safe destinations that not only minimize the congestion and increase the flow but also decrease the evacuation time *** this paper,we sketch the state of quickest flow solutions and solve the quickest contraflow problem with constant transit times on arcs proving that the problem can be solved in strongly polynomial time O(nm^2(long n)~2)where n and m are number of nodes and number of arcs,respectively in the *** contraflow solution has the same computational time bound as that of the best min-cost flow ***,we also introduce the contraflow approach with load dependent transit times on arcs and present an efficient algorithm to solve the quickest contraflow problem *** the claim,our computational experiments on Kathmandu road network and on randomly generated instances perform very well matching the theoretical *** a sufficiently large number of evacuees,about double flow can be shifted with the same evacuation time and about half time is sufficient to push the given flow value with contraflow reconfiguration.

关键词：算法优化模型正常化运筹学灾难时间

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