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HCT-LSTM:integrating habit,current situation,and tendency for driving safety state prediction in adverse weather conditions

Benmin Liu Chengxin Li Bingyu Shi Runzhu Deng

International Journal of Transportation Science and Technology2026，Vol.22Issue(2)：P.247-262,16.

International Journal of Transportation Science and Technology2026，Vol.22Issue(2)：P.247-262,16.DOI:10.1016/j.ijtst.2025.04.005

HCT-LSTM:integrating habit,current situation,and tendency for driving safety state prediction in adverse weather conditions

Benmin Liu ¹Chengxin Li ¹Bingyu Shi ¹Runzhu Deng¹

作者信息

1. Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,Shanghai 201804,China
折叠

摘要

关键词

Traffic safety/Adverse weather/Driving behavior indicator system/Prediction of driving safety state/Long short-term memory(LSTM)

分类

交通工程

引用本文复制引用

Benmin Liu,Chengxin Li,Bingyu Shi,Runzhu Deng..HCT-LSTM:integrating habit,current situation,and tendency for driving safety state prediction in adverse weather conditions[J].International Journal of Transportation Science and Technology,2026,22(2):P.247-262,16.

基金项目

supported by the National Key Research and Development Program of China(No.2017YFC0803902) （No.2017YFC0803902）

through the utilization of the World Bank loan for the Yunnan Highway Asset Management Project(HAMP-CS-05). （HAMP-CS-05）

International Journal of Transportation Science and Technology

ISSN：2046-0430

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