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An exact method for the bus dispatching problem in rolling horizons

机译:滚动视野中公交调度问题的一种精确方法

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In this work, we adapt the rolling-horizon approach of Eberlein et al. (2001) for adjusting the dispatching times of buses at each rolling horizon. The industry practice is to adjust the dispatching time of a bus once it departs from the first stop while considering that future trips will operate as planned. In contrast, a rolling-horizon approach adjusts simultaneously the dispatching times of all trips that operate during a pre-determined time interval resulting in a coordinated effort to maintain the target headways. Due to the increased number of dispatching time decisions, this coordinated effort increases the computational burden. To reduce the computational cost, we introduce a nonlinear program and we propose a novel reformulation that limits the recursive relations of the optimization problem. Our program is proved to be convex and can be solved to global optimality under a limited computational cost. In addition, it outperforms myopic methods that adjust the dispatching time of each bus trip in isolation. The sensitivity of our method to travel time and passenger demand fluctuations is investigated on a simulation scenario of bus line 15L in Denver.
机译:在这项工作中,我们采用了Eberlein等人的水平滚动方法。 (2001年),以调整每个滚动水平的公共汽车的调度时间。行业惯例是,一旦公交车从第一站出发,就要对其调度时间进行调整,同时考虑到未来的出行将按计划进行。相反,水平滚动方法会同时调整在预定时间间隔内运行的所有行程的调度时间,从而需要协调一致的努力来维持目标行驶距离。由于调度时间决策的数量增加,这种协调的工作增加了计算负担。为了降低计算成本,我们引入了非线性程序,并提出了一种新颖的公式化形式,它限制了优化问题的递归关系。我们的程序被证明是凸的,并且可以在有限的计算成本下解决全局最优性。另外,它的性能优于近视方法,该方法可以独立地调整每个总线行程的调度时间。在丹佛的15L公交线路的模拟场景中,研究了我们的方法对旅行时间和乘客需求波动的敏感性。

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