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Author

Thaar Alqahtani

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2 papers indexed here

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Aug 2026

Shedding light on crash injury severity: a Bayesian-optimized machine learning investigation of visibility conditions.

Visibility conditions play a critical role in road traffic crash outcomes, yet limited research has examined how combinations of ambient lighting and street lighting are jointly associated with injury severity. This study examines the association between visibility conditions and traffic crash injury severity using a d...

M. Abdullah, Sherif Shokry, Thaar Alqahtani et al. · 0 citations
Open access Sep 2026

The Evaluation Gap: Why Standard Accuracy Metrics and Drift Detectors Understate the Deployment Risk of Crash-Severity Prediction Models

Road authorities increasingly use machine-learning models to rank high-risk locations and to allocate scarce safety resources. These models are almost always judged by their predictive accuracy on a random hold-out sample. This study shows that practice hides an important risk. We evaluate crash-severity models the way...

Thaar Alqahtani, Fawzan Alfawzan · 0 citations

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