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基于统计的轨道交通旅行时间估计方法

A statistics approach to travel time estimation for rail transit
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摘要 本文致力于解决城市轨道交通旅行时间的估算。研究通过对影响换乘路径选择和旅行时间的因素的研究分析,提出了基于统计的候车时间和换乘时间估计的算法,并用上海轨道交通的历史数据评价了该算法的可靠性。 This paper addresses the problem of estimating the travel time during urban rail transit.After the analysis of the factors impacting transfer path selection and time cost,the paper proposes a statistics method to estimating the waiting time as well as the transfer time.Based on the above,the paper evaluates the performance of the algorithm on the historical data of Shanghai rail transit,demonstrating its reliability.
作者 陈佳 施海全 孙煜 CHEN Jia;SHI Haiquan;SUN Yu(Shanghai INESA Network Co.,Ltd,Shanghai 200233,China;Technical Center of Shanghai Shentong Metro Group Co.,Ltd,Shanghai 201103,China)
出处 《智能计算机与应用》 2019年第3期240-243,共4页 Intelligent Computer and Applications
关键词 城市轨道交通 换乘路径 旅行时间 K短路径 urban rail transit transfer path travel time K shortest paths
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