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Benders Decomposition for the Design of a Hub and Shuttle Public Transit System

机译:枢纽和班车公共交通系统设计的Benders分解

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The BusPLUS project aims at improving the off-peak hours public transit service in Canberra, Australia. To address the difficulty of covering a large geographic area, BusPLUS proposes a hub and shuttle model consisting of a combination of a few high-frequency bus routes between key hubs and a large number of shuttles that bring passengers from their origin to the closest hub and take them from their last bus stop to their destination. This paper focuses on the design of the bus network and proposes an efficient solving method to this multimodal network design problem based on the Benders decomposition method. Starting from a mixed-integer programming (MIP) formulation of the problem, the paper presents a Benders decomposition approach using dedicated solution techniques for solving independent subproblems, Pareto-optimal cuts, cut bundling, and core point update. Computational results on real-world data from Canberra's public transit system justify the design choices and show that the approach outperforms the MIP formulation by two orders of magnitude. Moreover, the results show that the hub and shuttle model may decrease transit time by a factor of two, while staying within the costs of the existing transit system.
机译:BusPLUS项目旨在改善澳大利亚堪培拉的非高峰时间公共交通服务。为了解决覆盖较大地理区域的困难,BusPLUS提出了一种集线器和班车的模型,该模型由关键集线器之间的一些高频巴士路线和将乘客从其出发地带到最近的集线器的大量班车组成。带他们从最后一个巴士站到达目的地。本文着重于总线网络的设计,并基于Benders分解方法,针对该多模态网络设计问题提出了一种有效的解决方法。从问题的混合整数编程(MIP)公式开始,本文提出了一种Benders分解方法,该方法使用专用的解决方案技术来解决独立的子问题,帕累托最优割,割捆绑和核心点更新。来自堪培拉公共交通系统的真实数据的计算结果证明了设计选择的合理性,并表明该方法比MIP公式的性能高两个数量级。而且,结果表明,枢纽和航天飞机模型可以将运输时间减少两倍,同时又不超出现有运输系统的成本。

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