首页|期刊导航|International Journal of Transportation Science and Technology|Short-term passenger flow prediction of urban rail transit on Bayesian optimization-bidirectional long short-term memory with causal temporal pattern attention

Short-term passenger flow prediction of urban rail transit on Bayesian optimization-bidirectional long short-term memory with causal temporal pattern attention

Jing Zuo Ming He Zhao Yu Jianqiang Wang

International Journal of Transportation Science and Technology2026，Vol.21Issue(1)：P.109-124,16.

International Journal of Transportation Science and Technology2026，Vol.21Issue(1)：P.109-124,16.DOI:10.1016/j.ijtst.2025.01.008

Short-term passenger flow prediction of urban rail transit on Bayesian optimization-bidirectional long short-term memory with causal temporal pattern attention

Jing Zuo ¹Ming He ¹Zhao Yu ²Jianqiang Wang³

作者信息

1. College of Automation and Electrical Engineering,Lanzhou Jiaotong University,Lanzhou 730070,Gansu,China
2. CRRC Yongji Electric Co.,Ltd.,Yongji 044500,Shanxi,China
3. School of Traffic and Transportation,Lanzhou Jiaotong University,Lanzhou 730070,Gansu,China
折叠

摘要

关键词

Urban rail transit/Passenger flow prediction/Bayesian optimization(BO)/Attention mechanism/Deep neural network

分类

交通工程

引用本文复制引用

Jing Zuo,Ming He,Zhao Yu,Jianqiang Wang..Short-term passenger flow prediction of urban rail transit on Bayesian optimization-bidirectional long short-term memory with causal temporal pattern attention[J].International Journal of Transportation Science and Technology,2026,21(1):P.109-124,16.

基金项目

supported in part by the National Natural Science Foundation of China(No.52262045) （No.52262045）

the Key R&D Program-Industrial Project of Gansu Province of China(No.23YFGA0045) （No.23YFGA0045）

the Scientific and Technological Research and Development Program Project of China National Railway Group Company Ltd.(No.N2023S022). （No.N2023S022）

International Journal of Transportation Science and Technology

ISSN：2046-0430

访问量0

下载量0

段落导航