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首页> 外文会议>Computers in Railways X: Computer System Design and Operation in the Railway and other Transit Systems; WIT Transactions on Built Environment; vol.88 >ALFa - a software tool for optimal scheduling of demand oriented train services
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ALFa - a software tool for optimal scheduling of demand oriented train services

机译：ALFa-用于优化以需求为导向的火车服务调度的软件工具

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摘要

A scheduling strategy considering demand variation during the day and within the network is outlined. The optimal headway is calculated taking into account demand and supply simultaneously achieving equilibrium. The train service structure is complicated due to different headways for each hour of the day and various parts of the network. Short train headways shall be provided for sections with high demand whereas sections with lower demand (outskirts) request easily recallable departure times. That is why the use of Genetic Algorithms is proposed to transform such an operating scheme into an optimal train service. They allow to find a timetable with non-conflicting train paths, which is characterized by even headways for all sections of the network. The timetable can also be optimized for minimal fleet size or both goals simultaneously. In order to ease the application of such operating strategies, the proposed algorithms were implemented into a computer-aided planning system called ALFa which is described in this paper.
机译：概述了考虑白天和网络内部需求变化的调度策略。考虑到同时达到平衡的需求和供应，可以计算出最佳的前进距离。火车服务结构由于一天中每个小时的车距不同以及网络的各个部分而变得复杂。对于需求量高的路段，应提供较短的列车车道，而需求量低（郊区）的路段，则要求可轻松召回出发时间。这就是为什么提出使用遗传算法将这种操作方案转换为最佳火车服务的原因。他们允许找到时间表，这些时间表的列车路径没有冲突，其特点是网络所有部分的行驶距离都均匀。时间表也可以针对最小机队规模或同时实现两个目标进行优化。为了简化此类操作策略的应用，将本文提出的算法实施到称为ALFa的计算机辅助计划系统中。

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