Research on Passenger Flow Path Reduction of Urban Rail Transit Based on AFC Data and Transfer Estimation

Y. Jiang, Wanyang Zuo, Yangchenmiao Cui
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Abstract

In this paper, the acquisition of AFC system in the data of total passenger travel time into walking time, the train running time, train time, transfer time and waiting time to five parts, using the mean estimate the five unknown variables, at the same time using the A * pathfinding algorithm traverses all paths between the OD and calculate the travel time of the theoretical value, the closest to real passengers travel long is one of the most matching paths. The research on the passenger flow path reduction model of urban rail transit network helps managers master the real-time distribution of passenger flow in the network and further improves the quality of the train operation plan of urban rail transit network.
基于AFC数据和换乘估计的城市轨道交通客流路径缩减研究
本文将采集到的AFC系统中的乘客总出行时间数据分成步行时间、列车运行时间、列车运行时间、换乘时间和等待时间五部分,利用均值估计这五个未知变量,同时利用A *寻路算法遍历OD之间的所有路径并计算出行时间的理论值,最接近真实乘客出行时间的路径是最匹配的路径之一。城市轨道交通网络客流路径缩减模型的研究有助于管理者掌握网络中客流的实时分布,进一步提高城市轨道交通网络列车运行计划的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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