Machine learning based method for forecasting short-term passenger flow in urban rail stations

Urban rail transit features much strength, such as large capacity, safety and environment-friendliness, and it becomes a preferred choice for most passengers. It also plays a prominent part in solving urban traffic problems. In order to improve the operation efficiency of the urban rail transit syst...

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Bibliographic Details

Published in:	Shenzhen Daxue xuebao. Ligong ban
Main Authors:	HU Mingwei, SHI Xiaolong, WU Wenlin, HE Guoqing
Format:	Article
Language:	English
Published:	Science Press (China Science Publishing & Media Ltd.) 2022-09-01
Subjects:	traffic and transportation engineering urban rail transit short-term passenger flow prediction data processing feature engineering machine learning
Online Access:	https://journal.szu.edu.cn/en/#/digest?ArticleID=2465