期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2018
卷号：186
期号：6
页码：012038
DOI：10.1088/1755-1315/186/6/012038
语种：English
出版社：IOP Publishing
摘要：Aiming at the problem of passenger path selection in normal rail transit, using the passenger travel path selection data in urban rail transit operation, analysing the influence factors of passenger path selection during peak hours, and a path selection decision modelling method using machine data for machine learning is proposed. The vector regression machine builds a data-based normal passenger path selection decision model.
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