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Shi-Kang Zhong

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Conference Open access 2026

Using Bayesian Optimized XGBoost for Predicting Traffic Accident Duration

Traffic accidents adversely affect socioeconomic conditions and human well being by causing casualties, property damage, congestion, and secondary crashes. Accurate prediction of incident duration is critical for effective TIM and optimal resource allocation. Traditional studies on accident duration prediction have mai...

Shi-Kang Zhong · 0 citations

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