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Parking buses in a depot with stochastic arrival times

机译:到达时间随机的仓库中的停车巴士

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摘要

Given buses of different types arriving at a depot during the evening, the bus parking problem consists of assigning these buses to parking slots in such a way that they can be dispatched adequately to the next morning routes without moving them between their arrivals and departures. In practice, the bus arrival times deviate stochastically from the planned schedule. In this paper, we introduce for this problem two solution approaches that produce solutions which are robust to variations in the arrival times. The first approach considers that each arrival can deviate from its planned arrival order (sooner or later) by at most k positions, where k is a predefined parameter. In the second approach, the objective aims at minimizing the expectation of a function positively correlated with the number of buses that make the planned solution infeasible because they arrive too late or too early. In both approaches, the problem is modeled as an integer linear program that can be solved by a commercial MIP solver. Computational results obtained on instances derived from a real-world dataset are reported. (c) 2006 Elsevier B.V. All rights reserved.
机译:给定不同类型的公共汽车在晚上到达仓库,公共汽车的停车问题在于将这些公共汽车分配给停车位,以便可以将它们适当地分派到第二天的早间路线,而不必在到达和离开之间移动它们。实际上,公交车的到站时间与计划的时间表有随机的偏离。在本文中,我们针对此问题介绍了两种解决方案方法,这些方法产生的解决方案对于到达时间的变化具有鲁棒性。第一种方法认为,每个到达都可能偏离其计划的到达顺序(较早或更晚)最多k个位置,其中k是预定义参数。在第二种方法中,目标旨在最大程度地减少与公共汽车数量成正比的功能期望,这些公共汽车使计划解决方案不可行,因为它们来得太迟或太早。在这两种方法中,都将问题建模为可以由商用MIP求解器解决的整数线性程序。报告了从真实数据集派生的实例上获得的计算结果。 (c)2006 Elsevier B.V.保留所有权利。

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