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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Bibliografski detalji

Glavni autori:	Qin Luo, Bin Lin, Yitong Lyu, Yuxin He, Xiaochun Zhang, Zhiqing Zhang
Format:	Artigo
Jezik:	Inglês
Izdano:	Wiley 2023-07-01
Serija:	IET Intelligent Transport Systems
Teme:	passenger detention passenger flow assignment path inference travel time urban rail transit
Online pristup:	https://doi.org/10.1049/itr2.12332
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