Spatiotemporal path inference model for urban rail transit passengers based on travel time data

Spatiotemporal path inference model for urban rail transit passengers based on travel time data

Abstract Although the ‘one ticket transfer’ mode brings convenience to passengers, it also poses challenges to the passenger flow assignment. The current widely used multi‐path probability assignment model based on traffic cost realizes the passenger flow distribution from the macro‐perspective but...

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Bibliographic Details
Main Authors: Qin Luo, Bin Lin, Yitong Lyu, Yuxin He, Xiaochun Zhang, Zhiqing Zhang
Format: Article
Language:English
Published: Wiley 2023-07-01
Series:IET Intelligent Transport Systems
Subjects:
passenger detention
passenger flow assignment
path inference
travel time
urban rail transit
Online Access:https://doi.org/10.1049/itr2.12332

Internet

https://doi.org/10.1049/itr2.12332

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