Safety and Mobility Optimization via Virtual Environments Lab

Descripción del proyecto

Implantación de un marco predictivo de accidentes

Garantizar la seguridad vial es más importante que nunca a medida que el uso de vehículos automatizados se generaliza. El proyecto SafeMoVE, financiado por el Consejo Europeo de Investigación, pretende mejorar la forma de evaluar la seguridad vial en entornos en los que los vehículos conectados comparten la calzada con usuarios más vulnerables, como ciclistas y peatones. El equipo de SafeMoVE probará un marco predictivo que estima el riesgo de accidentes sin datos de colisiones pasadas. Para ello, recopilará datos con cámaras y drones, estudiará cómo interactúan los distintos usuarios de la calzada y creará un modelo fiable de predicción de accidentes. También tiene previsto llevar este sistema al mercado, dirigiéndose a grupos como los fabricantes de automóviles y los responsables políticos. Todo ello contribuirá al objetivo de «Visión Cero» de la Unión Europea de poner fin a las muertes en carretera para 2050.

Objetivo

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.