MUST

MUST addresses the growing need for advanced safety systems in urban mobility, driven by vehicle automation, connectivity, and the complexities of smart cities. The project develops a testbed that enables extensive experimentation and evaluation of AI-driven safety systems. The project aims to automate the evaluation and optimisation of safety strategies, using AI-driven tools to dynamically assess risks in urban traffic conditions, particularly those involving vulnerable road users (VRUs). Test tracks will serve as key environments for experimentation and validation of various safety interventions, including driver-assist technologies to V2V (Vehicle-to-Vehicle) and V2I (Vehicle-to-Infrastructure) coordination systems.