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首页> 外文会议>Proceedings of the 3rd international conference on electrical and information technologies for rail transportation: transportation >Research on the Route Choice Behavior of Subway Passengers Based on AFC Data
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Research on the Route Choice Behavior of Subway Passengers Based on AFC Data

机译：基于AFC数据的地铁乘客选路行为研究

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摘要

This paper studies the route choice behavior of passengers from auto fare collection and timetable data using a method combined with Bayesian and Metropolis-Hasting sampling. First, influential factors of route choice such as in-vehicle travel time, transfer time, and in-vehicle crowding are selected. Then, formulations of these factors are established for a single passenger, which are merged into a logit model to model route choice behavior of subway passengers. Next, an algorithm that integrates Bayesian inference and Metropolis-Hasting sampling is designed to calibrate the parameters of the logit model. Finally, a case study of Beijing subway is applied to verify the validity of the developed model and algorithm.
机译：本文结合贝叶斯和Metropolis-Hasting抽样方法，从车费收集和时刻表数据研究乘客的选路行为。首先，选择路线选择的影响因素，例如车内旅行时间，转移时间和车内拥挤。然后，为单个乘客建立这些因素的公式，然后将其合并到logit模型中，以对地铁乘客的路线选择行为进行建模。接下来，设计了一种将贝叶斯推理和Metropolis-Hasting采样相结合的算法，以校准logit模型的参数。最后，以北京地铁为例，验证了该模型和算法的有效性。

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