Multi-Car Collision Avoidance

A car crash on a motorway rarely involves just two vehicles—yet most collision avoidance systems only look at the car directly ahead. The MuCCA project is building a system that lets multiple cars communicate and coordinate to avoid pile-ups, using sensors, machine learning, and vehicle-to-vehicle data sharing. Current driver-assist systems react to the immediate threat in front. They cannot anticipate a chain reaction three cars back. MuCCA aims to fill that gap by giving each car a predictive view of the whole local traffic cluster, including vehicles not equipped with the technology. A human driver model will simulate how ordinary cars behave, so the system works on today’s mixed roads, not just in a future of fully autonomous fleets. If successful, the system could reduce both the frequency and severity of multi-car collisions on motorways—cutting injuries, vehicle damage, and traffic disruption. The simulation environment developed alongside the hardware will also accelerate broader automated vehicle testing in the UK. The tools are designed to be adaptable to other vehicle automation challenges, making this a practical step toward safer, more cooperative roads.