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Hierarchical dynamic modeling for highway network real-time risk forecasting with digitalized vehicle data

Donghyoek Park Nuri Park Songha Lee Juneyoung Park Ducknyung Kim

International Journal of Transportation Science and Technology2025，Vol.19Issue(3)：P.256-268,13.

International Journal of Transportation Science and Technology2025，Vol.19Issue(3)：P.256-268,13.DOI:10.1016/j.ijtst.2024.10.011

Hierarchical dynamic modeling for highway network real-time risk forecasting with digitalized vehicle data

Donghyoek Park ¹Nuri Park ²Songha Lee ²Juneyoung Park ³Ducknyung Kim⁴

作者信息

1. Department of Transportation and Logistics Engineering,Hanyang University,Ansan 15588,South Korea
2. Department of Smart City Engineering,Hanyang University,Ansan 15588,South Korea
3. Department of Transportation and Logistics Engineering/Department of Smart City Engineering,Hanyang University,Ansan 15588,South Korea
4. Korea Expressway Corporation Research Institute,Transportation Research Division,Hawseong 18489,South Korea
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摘要

关键词

Real-time crash prediction/Safety performance analysis/Probabilistic model/Logistic regression

分类

交通工程

引用本文复制引用

Donghyoek Park,Nuri Park,Songha Lee,Juneyoung Park,Ducknyung Kim..Hierarchical dynamic modeling for highway network real-time risk forecasting with digitalized vehicle data[J].International Journal of Transportation Science and Technology,2025,19(3):P.256-268,13.

基金项目

supported by the National Research Foundation of Korea(NRF)grant funded by the Korean government(MSIT)(No.2022R1A2C1093424). （NRF）

International Journal of Transportation Science and Technology

ISSN：2046-0430

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