International Journal of Transportation Science and Technology2025，Vol.20Issue(4)：P.157-177,21.DOI:10.1016/j.ijtst.2024.11.005
Incident duration reliability assessment using Monte-Carlo simulation and kernel density estimation of machine learning-based models
Lubna Obaid 1Khaled Hamad 1Samer Barakat1
作者信息
- 1. Department of Civil and Environmental Engineering,College of Engineering,University of Sharjah,Sharjah 27272,United Arab Emirates
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摘要
关键词
Incident duration(ID)/Deep learning(ML)/Reliability/Monte-Carlo simulation(MCS)/Kernel density estimation(KDE)分类
交通工程引用本文复制引用
Lubna Obaid,Khaled Hamad,Samer Barakat..Incident duration reliability assessment using Monte-Carlo simulation and kernel density estimation of machine learning-based models[J].International Journal of Transportation Science and Technology,2025,20(4):P.157-177,21.
