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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Vehicle route assignment optimization for emergency evacuation in a complex network
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Vehicle route assignment optimization for emergency evacuation in a complex network

机译：复杂网络中用于紧急疏散的车辆路线分配优化

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摘要

Most traffic delays during regional evacuations occur due to a large number of vehicles are grouped for a short time. Thus, the reasonable assignment of a vehicle route is one strategy for reducing these delays. To identify an optimal vehicle route assignment plan, this paper presents a multi-source and multi-destination traffic network model. This model is an extension of the minimum cost flow problem and it improves the definition of the travel time based on the traffic volume. It can be used to formulate vehicle routing plans that alleviate traffic congestion and reduce the evacuation time. A genetic algorithm is modified to find the solution for this model. The solution trades off the total vehicle travel distance against traffic jams. An application is presented for Wenzhou city, Zhejiang province, China.
机译：由于大量车辆在短时间内被分组，因此在区域疏散期间大多数交通延误都发生了。因此，合理分配车辆路线是减少这些延误的一种策略。为了确定最佳的车辆路线分配计划，本文提出了一种多源多目的地交通网络模型。该模型是最小成本流问题的扩展，它根据交通量改进了出行时间的定义。它可用于制定缓解交通拥堵并减少疏散时间的车辆路线计划。修改了遗传算法以找到该模型的解决方案。该解决方案需要权衡总的车辆行驶距离与交通拥堵。提出了针对中国浙江省温州市的应用程序。

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