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Monte Carlo Simulation-based Approach to Optimal Bus Stops Allocation in the Municipality of Laško

机译:基于蒙特卡罗模拟的Laško市最佳公交车站分配方法

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摘要

The paper addresses the problem of optimal bus stop allocation. The aim is to achieve reduction of costs on account of appropriate re-design of the process of obligatory transportation of children from their homes to the corresponding schools in the Laško municipality. The proposed algorithm relies on optimization based on the Monte Carlo simulation procedure. The number of calculated bus stops is required to be minimal possible, which can still assure maximal service area within the prescribed radius, while keeping the minimal walking distances pupils have to go across from their homes to the nearest bus stop and vice versa. The main issues of the proposed algorithm are emphasised and the working mechanism is explained. The presentation of calculated results is given and comparison with some other existing algorithms is provided. The positions of the calculated bus stops are going to be used for the purpose of physical bus stops implementation in order to decrease the current transportation costs.
机译:该文件解决了最佳公交车站分配问题。目的是通过适当地重新设计儿童从家中到拉什科市相应学校的义务运输的过程,来降低成本。所提出的算法依赖于基于蒙特卡洛模拟程序的优化。计算出的公交车站的数量应尽可能少,这仍可确保在规定的半径内提供最大的服务区域,同时保持学生必须从家中经过到最近的公交车站的最小步行距离,反之亦然。强调了该算法的主要问题,并解释了其工作机制。给出了计算结果的表示,并提供了与其他一些现有算法的比较。计算出的公交车站的位置将用于实物公交车站的实施,以减少当前的运输成本。

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