Short term passenger flow forecasting of urban rail transit based on hybrid deep learning model

被引：0
|
作者：
Wang, Xueqin [1 ]
Xu, Xinyue [1 ]
Wu, Yuankai [2 ]
Liu, Jun [1 ]
机构：
[1] State Key Lab of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing,100044, China
[2] McGill University and IVADO, Montreal,QC,H3A 0G4, Canada
来源：
Journal of Railway Science and Engineering | 2022年 / 19卷 / 12期
关键词：
30;
D O I：
10.19713/j.cnki.43-1423/u.T20220158
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：3557 / 3568
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