This guide from TRB’s National Cooperative Highway Research Program highlights how AI, machine learning, and emerging data sources—such as connected vehicles, LiDAR, video analytics, and edge devices—can improve traditional road safety evaluations. Case studies from Oregon DOT and the City of Bellevue, WA, illustrate practical applications, including using ML to inventory streetlights for crash risk analysis and analyzing turning behavior at intersections to enhance safety.