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Optimization of Containers Transfer in Le Havre Port: a New Algorithm for the Railway Transportation System

机译:勒阿弗尔港口集装箱运输的优化:铁路运输系统的新算法

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This paper introduces the rail shuttle routing problem with synchronization constraints in which rail shuttles carry out the transfer of containers between maritime terminals and the multimodal terminal of the Le Havre Port. A rail shuttle is composed of two types of vehicles: a locomotive which is an autonomous vehicle able to move between container terminals, and a block of flatcars which is considered as a non-autonomous vehicle that requires to be hitched to a locomotive to move in space. The objective is to minimize empty travel times of autonomous vehicles between container terminals with respecting the synchronization needs between the routing of both types of vehicles to perform the transfer of containers within time windows constraints imposed on task availability. A mathematical formulation of the problem is established and an ant colony algorithm is proposed to solve the problem.
机译:本文介绍了具有同步约束的铁路穿梭机路线问题,其中,铁路穿梭机在勒阿弗尔港口的海运码头和多式联运码头之间进行集装箱运输。铁路班车由两种类型的车辆组成:机车是一种能够在集装箱码头之间移动的自动驾驶汽车,还有一排平板车,被认为是非自动驾驶车辆,需要系到机车才能进站。空间。目的是考虑到两种类型的车辆的路线之间的同步需求,以最小化集装箱终端之间的自动驾驶车辆的空行时间,以在对任务可用性施加的时间窗约束内执行集装箱的转移。建立了该问题的数学公式,并提出了一种蚁群算法来解决该问题。

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