Identification of dynamic traffic crash risk for cross-area freeways based on statistical and machine learning methods

Author:

Yang YangORCID,He Kun,Wang Yun-peng,Yuan Zhen-zhou,Yin Yong-hao,Guo Man-zeORCID

Funder

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Statistical and Nonlinear Physics,Statistics and Probability

Reference56 articles.

1. Research on the Method of Freeway Crash Risk Identification and Comprehensive Traffic Safety Evaluation Considering the Regional Type Difference;Yang,2020

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3. Real-time estimation of accident likelihood for safety enhancement;Oh;J. Transp. Eng.,2005

4. Mannering, the statistical analysis of crash-frequency data: A review and assessment of methodological alternatives;Lord;Transp. Res. Part A,2010

5. Low complexity approximate Bayesian logistic regression for sparse online learning;Shamir,2021

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