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A novel flexible shuttle vehicle scheduling problem in scenic areas: Task-divided graph-based formulation and ALGORITHM

机译:景区中的一个新型柔性梭式车辆调度问题:任务分开的基于图形的配方和算法

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摘要

This study focuses on the problem of flexible shuttle scheduling (FSS) which has been observed across many scenic areas worldwide. As a contrast to the popular existing shuttle networks, tourists (passengers) in the FSS problem do not have a one-to-one matching relationship with vehicles. Each vehicle may be assigned another shuttle task after transporting tourists to a scenic area, where they would remain for a while. This creates a great challenge for the optimal scheduling of vehicles. We formulate the FSS problem using a task-divided graph-based (TDGB) mathematical model. A direct mathematical model is developed as a benchmark to show the performance of the TDGB model. A two-staged re-evaluation method is designed and validated to solve the FSS problem, which employs a part of the TDGB model to obtain the solution efficiently. Numerical experiments are conducted to quantify the superiority of the TDGB mathematical model and assess the performance of the proposed methods.
机译:本研究侧重于柔性班车安排(FSS)的问题在全球许多景区中观察到的。 与流行的现有航频网络相比,FSS问题中的游客(乘客)没有与车辆的一对一匹配关系。 在将游客运送到景区之后,每辆车都可以分配另一辆班车任务,在那里他们将留下一段时间。 这为车辆的最佳调度创造了巨大挑战。 我们使用基于任务分割的图形(TDGB)数学模型来制定FSS问题。 将直接数学模型作为基准开发,以显示TDGB模型的性能。 设计并验证了双分阶段的重新评估方法,以解决FSS问题,该问题采用TDGB模型的一部分来有效地获得解决方案。 进行数值实验以量化TDGB数学模型的优越性,并评估所提出的方法的性能。

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