Human Behaviour as Basis for Situation and Risk Assessment
摘要
Research increasingly focuses on growing individual mobility and new transport options like electric scooters and cargo bikes, especially in urban areas where limited road space is shared by diverse traffic. The challenge is to balance traffic safety with maximum efficiency. A key approach is modeling the observable behavior of all road users to better understand and analyze urban traffic patterns. This knowledge supports the development of automated assistance systems and traffic simulations under varied conditions. Consequently, effective measures can be designed and evaluated to improve safety, efficiency, and reduce environmental impact.