Evaluating expressway traffic crash severity by using logistic regression and explainable &amp; supervised machine learning classifiers

Madushani, J.P.S. Shashiprabha; Sandamal, R.M. Kelum; Meddage, D.P.P.; Pasindu, H.R.; Gomes, P.I. Ayantha

doi:10.1016/j.treng.2023.100190

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Evaluating expressway traffic crash severity by using logistic regression and explainable & supervised machine learning classifiers

Cited by 25 publications

References 41 publications

Predicting Fatality in Road Traffic Accidents: A Review on Techniques and Influential Factors

Predicting Fatality in Road Traffic Accidents: A Review on Techniques and Influential Factors

A Comparative Study Using Generalized Ordered Probit, Stacking Ensemble, and TabNet: Application to Determinants of Pedestrian Crash Severity

Optimizing crash risk models for freeway segments: A focus on the heterogeneous effects of road geometric design features, traffic operation status, and crash units

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