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From Prediction to Explanation: Explainable Machine Learning for Motor Vehicle–Involved Pedestrian and Cyclist Crash Risk

Pedestrian and cyclist safety at urban intersections remains a critical challenge for transportation agencies, as vulnerable road users are significantly exposed to crash risks in complex traffic environments. Identifying high-risk locations and factors that contribute to crashes is essential for im...

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Autori principali: Ahmed Elsayed, Ahmed Abdel-Rahim, Logan Prescott
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2026-02-01
Serie:Infrastructures
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Accesso online:https://www.mdpi.com/2412-3811/11/3/77
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