When feeling safe becomes risky: A VR-EEG-computer vision framework for analyzing cyclist safety in dynamic traffic environment

Key Points

• Cyclist safety is at risk in dynamic traffic environments, with specific conditions identified for concern.
• Key findings show that VR can simulate traffic scenarios affecting cycling safety and behavior.
• Assessment using VR, EEG, and computer vision quantifies safety risks and cyclist responses to real-time traffic.
• Highlights the necessity for advanced solutions to enhance cyclist safety in rapidly changing urban settings.