Identification of high-risk expressway segments using connected vehicle data: an empirical analysis

Key Points

• High-risk expressway segments are identified through comprehensive analysis of connected vehicle data, enhancing road safety efforts.
• The analysis revealed specific segments that experience higher accident rates, with a focus on traffic dynamics and patterns.
• Using advanced algorithms for risk assessment enabled precise identification of danger hotspots on expressways.
• Findings suggest that implementing targeted interventions in high-risk areas could significantly reduce accidents.