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Transit Service Design Using Automatic Passenger Counter Data

机译:使用自动乘客计数器数据的过境服务设计

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Aggregated total demand is often involved in microeconomic public transport models to determine the optimal frequency and bus size on a single bus route. With the implementation of Automatic Passenger Counter (APC) systems, massive boarding and alighting counts are available for analysis. This study proposes a microeconomic model to determine frequency and bus size using APC data. The proposed model considers the influence of crowding by specifying the dependence of the value of travel time on bus occupancy. It is revealed analytically that the model performs equally well as a model that uses origin-destination (OD) flows as inputs and that ignoring the influence of crowding would result in underestimating frequency and over estimating bus size. Numerical results suggest that a model based on bus load and a given bus size underestimates frequency, and a model that uses the total demand as input tends to underestimate frequency and overestimate bus size.
机译:微观经济公共交通模型通常涉及总需求总量,以确定单个公交路线上的最佳班次和公交车大小。随着自动旅客计数器(APC)系统的实施,大量的登机和下车计数可用于分析。这项研究提出了一种微观经济模型,可以使用APC数据来确定频率和总线大小。提出的模型通过指定出行时间值对公交车占用率的依赖性来考虑拥挤的影响。从分析上可以看出,该模型的效果与使用始发目的地(OD)流作为输入的模型一样好,并且忽略拥挤的影响将导致频率估计过低和总线大小估计过高。数值结果表明,基于母线负载和给定母线尺寸的模型会低估频率,而使用总需求作为输入的模型往往会低估频率并高估母线尺寸。

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