SafeMoVE · Safety and Mobility Optimization via Virtual Environments Lab

SafeMoVE addresses critical gaps in road safety assessment methods, particularly as they pertain to mixed traffic scenarios involving connected and automated vehicles, vulnerable road users, and conventional road users. Building on the scientific advancements of SUperSAFE, SafeMoVE aims to validate and commercialize a universal, proactive methodology for traffic safety analysis. Unlike traditional approaches reliant on historical accident data, the proposed framework employs Extreme Value Theory and Surrogate Measures of Safety to analyse road user interactions, enabling predictions of accident risk without requiring prior crash data. The project encompasses four integrated phases: Data Collection (A1): Using stationary cameras, drones, and simulations to gather detailed exposure and interaction data in real-world and virtual environments; Data Analysis (A2): Extracting and analysing trajectories and interactions to compute SMoS, facilitating safety assessments for both existing and future infrastructures; Framework Development (A3): Validating a proactive methodology for accident prediction and road safety assessment in diverse traffic compositions and automation levels; and Exploitation and Market Exploration (A4): Commercializing the validated methodology through spinouts, targeting stakeholders such as car manufacturers, road authorities, and policymakers. SafeMoVE’s innovative framework aligns with the EU’s Vision Zero target to eliminate road fatalities by 2050. Its proactive approach enables timely safety evaluations, mitigating risks before accidents occur. The project introduces scalable solutions for infrastructure and vehicle safety assessments, fostering advancements in traffic safety research, policy, and industry practices. By integrating multidisciplinary expertise and addressing the challenges of mixed traffic systems, SafeMoVE aspires to revolutionise road safety methodologies and contribute to safer, more efficient transportation systems globally.