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Investigating the contributing factors of crashes on interstate bridges in Louisiana using latent class clustering and association rule mining

M.Ashifur Rahman Elisabeta Mitran Julius Codjoe Kofi K.Ampofo-Twumasi

International Journal of Transportation Science and Technology2025，Vol.17Issue(1)：P.293-311,19.

International Journal of Transportation Science and Technology2025，Vol.17Issue(1)：P.293-311,19.DOI:10.1016/j.ijtst.2024.04.011

Investigating the contributing factors of crashes on interstate bridges in Louisiana using latent class clustering and association rule mining

M.Ashifur Rahman ¹Elisabeta Mitran ¹Julius Codjoe ¹Kofi K.Ampofo-Twumasi²

作者信息

1. Department of Civil Engineering,University of Louisiana at Lafayette,Lafayette,USA Louisiana Transportation Research Center,Baton Rouge,USA
2. Gresham Smith,Baton Rouge,USA
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摘要

关键词

Bridge/Latent class clustering(LCC)/Association rule mining(ARM)/Interstate highway/Speeding

分类

交通工程

引用本文复制引用

M.Ashifur Rahman,Elisabeta Mitran,Julius Codjoe,Kofi K.Ampofo-Twumasi..Investigating the contributing factors of crashes on interstate bridges in Louisiana using latent class clustering and association rule mining[J].International Journal of Transportation Science and Technology,2025,17(1):P.293-311,19.

基金项目

funded by the Louisiana Department of Transportation(DOTD)and Development and the Louisiana Transportation Research Center(LTRC),Grant number DOTLT1000341. （DOTD）

International Journal of Transportation Science and Technology

ISSN：2046-0430

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