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Author

Fadi Alhomaidat

2 papers indexed here

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Review Open access Oct 2026

A Domain-Informed Deep Learning Framework for Trip-Purpose Prediction from Household Travel Survey Data

Trip-purpose identification is fundamental to travel-demand modelling because it links observed movements to the behavioral motivations behind them. This study benchmarks domain-informed deep learning for 20-class trip-purpose prediction using the 2015 Southeast Michigan (SEMCOG) household travel survey (89,740 trips f...

Fadi Alhomaidat, T. Alhadidi, Mousa Abushattal et al. · 0 citations
Open access Jul 2026

Modeling Crash Injury Severity for Vulnerable Road Users Using CatBoost and SHAP: Uncovering Complex Risk Interactions

Rapid urbanization and increasing traffic density have increased the crash risk of vulnerable road users (VRUs), particularly pedestrians and cyclists. Meanwhile, the conventional statistical models have difficulties in capturing the nonlinear and complex nature of crash data, limiting their safety analysis effectivene...

M. Abushattal, M. Al-Marafi, Rasha Al-Shamaseen et al. · 0 citations

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