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An optimal approach for a set covering version of the refueling-station location problem and its application to a diffusion model

机译:一套涵盖加油站位置问题的最佳方法及其在扩散模型中的应用

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This article deals with the refueling-station location problem for alternative fuel vehicles in a traffic network. Alternative fuel vehicles can be characterized by the vehicle range that limits the travelable distance with fuel at full capacity. I propose an efficient formulation of the refueling-station location problem using an optimal property and prove that the problem is NP(Non-deterministic Polynomial)complete in the strong sense. I consider a special case of the refueling-station location problem in which the construction costs are equal for all nodes. In this case, the problem is to determine refueling station locations to minimize the total number of stations, while making the possible multiple predetermined origin-destination round-trips. I propose an optimal algorithm applicable when no refueling stations currently exist in a traffic network and a dynamic programming based algorithm applicable when a set of refueling stations already exists. I apply the algorithms to a traffic network to study the diffusion of refueling stations and predict the speed and range of station establishment. The computational experiments show that the speed of diffusion depends on the vehicle range and the sequence of the origin-destination demands considered in the diffusion process.
机译:本文讨论交通网络中替代燃料车辆的加油站位置问题。替代燃料汽车的特点是,其行驶里程限制了满载燃料的可行驶距离。我提出了利用最佳性质对加油站位置问题进行有效表述的方法,并证明了该问题在强烈意义上是NP(非确定性多项式)完备的。我考虑加油站位置问题的一种特殊情况,其中所有节点的建设成本均相等。在这种情况下,问题是要确定加油站的位置,以使加油站的总数最少,同时进行可能的多个预定始发地-目的地往返。我提出了一种在交通网络中当前不存在加油站时适用的最佳算法,以及在一组加油站已经存在时适用的基于动态编程的算法。我将该算法应用于交通网络,以研究加油站的扩散情况并预测加油站的建立速度和范围。计算实验表明,扩散速度取决于车辆的行驶距离以及在扩散过程中考虑的起点-终点要求的顺序。

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