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首页> 外文期刊>IEEE Transactions on Intelligent Transportation Systems >Vehicle Scheduling of Single-Line Bus Service Using Operational Strategies
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Vehicle Scheduling of Single-Line Bus Service Using Operational Strategies

机译:基于运营策略的单线公交车辆调度

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摘要

Vehicle scheduling is an important component of the transit operations planning process because it is directly related to the number of vehicles required for covering all trips. However, in practice, vehicles are not scheduled by a very efficient approach, related to the fact that all vehicles use one type of operation strategy-full operation strategy-for meeting unbalanced demand patterns. This paper proposes a methodology to reduce the required number of vehicles by adjusting a few trips to operate by other strategies, including limited stop, short turn, deadheading, and mixed strategies. This proposed methodology is based on a graphical human-machine interactive technique, called deficit function (DF). The DF allows schedulers to select a variable trip schedule for reducing the number of vehicles using optimal determination of the best applied strategies. The process of adjusting variable trips to accommodate different strategies may result in passenger travel time changes. Two optimization models are developed to minimize these changes and determine a set of stops served by the variable trip schedule. This proposed methodology has been applied to a detailed example and a case study in Paris, France. The results show that the adjustment of a few trips to use certain strategies can reduce the number of buses required by three.
机译:车辆调度是运输运营计划过程的重要组成部分,因为它与覆盖所有行程所需的车辆数量直接相关。但是,实际上,并不是所有车辆都使用一种类型的操作策略(完全操作策略)来满足不平衡的需求模式,因此无法通过非常有效的方法来调度车辆。本文提出了一种方法,该方法可通过调整一些行程以通过其他策略来减少所需的车辆数量,以采用其他策略,包括限停,转弯,空头和混合策略。所提出的方法是基于图形化的人机交互技术,称为缺陷函数(DF)。 DF允许调度程序使用最佳应用策略的最佳确定来选择可变行程计划,以减少车辆数量。调整可变行程以适应不同策略的过程可能会导致旅客旅行时间发生变化。开发了两个优化模型以最小化这些变化并确定可变行程计划服务的一组停靠点。拟议的方法已应用于法国巴黎的详细示例和案例研究。结果表明,使用某些策略对几次旅行进行的调整可以减少三辆所需的公交车数量。

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