Multi-Car Collision Avoidance (MuCCa)

Motorway pile-ups are costly – both in financial terms and in terms of human lives. MuCCA (Multi-Car Collision Avoidance) is a £4.6m, 30-month project supported by Innovate UK, which will develop a next-generation driver aid that aims to avoid multi-car collisions on motorways. If an accident cannot be avoided, the MuCCA system will attempt to minimise its consequences (both injuries and damage).

These goals mean the project will implement, test and refine solutions to many of the technical challenges that face fully autonomous cars. These challenges include sensor systems, machine learning, vehicle-to-vehicle communications and vehicle control systems.

The project is led by led by automotive design and testing experts IDIADA and includes input from Cranfield University, Westfield, Cosworth, SBD and the Transport Systems Catapult. The key focus areas for development include:

  • Cooperative decision and trajectory control for complex collision avoidance
  • Prediction of human-controlled vehicle paths
  • Shared sensor-agnostic world view which matches data from other connected vehicles to sensed vehicles and Merge sensor data from other vehicles
  • Development of a data logging capability to support event reconstruction
  • Creation of an Integrated simulation environment to evaluate complex crash scenarios
  • A Cyber-security assessment for common requirements
  • Multi-vehicle system validation on a test track.

To find out more visit the dedicated MuCCa website at

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