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Multi-Time-Scale Modeling for Day-Ahead Forecasting of Passenger Travel-Time and Destinations Distribution

Yiren Liu Lishuai Li Yang Zhao Yining Dong S.Joe Qin

自动化学报（英文版）2026，Vol.13Issue(7)：1610-1625,16.

自动化学报（英文版）2026，Vol.13Issue(7)：1610-1625,16.DOI:10.1109/JAS.2026.126170

Multi-Time-Scale Modeling for Day-Ahead Forecasting of Passenger Travel-Time and Destinations Distribution

Yiren Liu ¹Lishuai Li ²Yang Zhao ³Yining Dong ²S.Joe Qin¹

作者信息

1. School of Data Science,Lingnan University,Hong Kong SAR,China
2. Department of Data Science,City University of Hong Kong,Hong Kong SAR,China
3. School of Public Health(Shenzhen),Sun Yat-sen University,Shenzhen 518107,China
折叠

摘要

关键词

Flow patterns/passenger flow modeling/short-term forecasting/subway data analytics/travel time distribution

Key words

Flow patterns/passenger flow modeling/short-term forecasting/subway data analytics/travel time distribution

引用本文复制引用

Yiren Liu,Lishuai Li,Yang Zhao,Yining Dong,S.Joe Qin..Multi-Time-Scale Modeling for Day-Ahead Forecasting of Passenger Travel-Time and Destinations Distribution[J].自动化学报（英文版）,2026,13(7):1610-1625,16.

基金项目

This work was supported in part by a Shenzhen-Hong Kong-Macau Science and Technology Project Category C(9240086),a grant from ITF-Guangdong-Hong Kong Technology Cooperation Funding Scheme(GHP/145/20),and a Collaborative Research Fund by RGC of Hong Kong(C1143-20G). （9240086）

自动化学报（英文版）

ISSN：2329-9266

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