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Public-transit frequency setting using minimum-cost approach with stochastic demand and travel time

机译:使用具有随机需求和旅行时间的最小成本方法设置公交频率

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摘要

Common practice in public-transit planning is to determine the frequency of service based on accumulated hourly passenger counts, average travel time, given vehicle capacity, and the standard of minimum frequency by time of day. With the increased usage of automatic vehicle location (AVL) and automatic passenger counting (APC) systems, it is possible to construct the statistical distributions of passenger demand and travel time by time of day. This can give rise to improve the accuracy of the frequencies determined. This study presents a new approach of frequency setting by enabling the use of stochastic properties of the collected data and its associated costs within a supply chain optimization model. An optimization framework is constructed based on two main cost elements: (a) empty-seat driven (unproductive cost) and (b) overload and un-served demand (increased user cost). The objective function is to minimize the total cost incurred with decision variables of either frequency or vehicle capacity (vehicle size). That is, from the operator perspective it is desirable to utilize efficiently the fleet of vehicles which is related to the decisions of the vehicle size. From the authority perspective, the concern is to provide an adequate level of service in terms of frequency. The study contains sensitivity analysis of the cost ele-ments involved for economic evaluation.
机译:公共交通规划的常见做法是根据每小时累积的乘客人数,平均旅行时间,给定的车辆容量以及一天中的最低班次标准确定服务班次。随着自动车辆定位(AVL)和自动乘客计数(APC)系统的使用增加,可以按一天的时间构造乘客需求和旅行时间的统计分布。这可以提高确定的频率的准确性。这项研究通过在供应链优化模型中启用收集数据的随机属性及其相关成本,提出了一种频率设置的新方法。基于两个主要成本要素构建优化框架:(a)空座驱动(非生产成本)和(b)过载和未满足的需求(用户成本增加)。目标功能是最小化频率或车辆容量(车辆大小)的决策变量所产生的总成本。即,从操作者的角度出发,期望有效地利用与车辆尺寸的决定有关的车队。从权限角度来看,关注的是在频率方面提供适当的服务水平。该研究包含对经济评估涉及的成本要素的敏感性分析。

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