Train following model for urban rail transit performance analysis

In this paper we introduce a mesoscopic Train Following Model which accurately captures train interactions and predicts delays based on spacing between consecutive trains. The Train Following Model is applied recursively block by block estimating train trajectories given initial conditions (i.e. the...

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书目详细资料
Main Authors: Saidi, Saeid, Koutsopoulos, Haris N, Wilson, Nigel HM, Zhao, Jinhua
其他作者: Massachusetts Institute of Technology. Institute for Data, Systems, and Society
格式: 文件
语言:English
出版: Elsevier BV 2024
在线阅读:https://hdl.handle.net/1721.1/156449