Using connectivity and autonomy to minimise the damage in high speed, multi-vehicle traffic accidents.
MULTI-CAR
COLLISION AVOIDANCE
MULTI-CAR
COLLISION AVOIDANCE
Using connectivity and autonomy to minimise the damage in highspeed, multi-vehicle traffic accidents.
Our Project
Motorway pile-ups cost lives and cause huge financial strain.
The Multi-Car Collision Avoidance Project (MuCCA) is a £4.6m, 30-month project funded by the Centre for Connected and Autonomous Vehicles (CCAV) via 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).
This 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.
Following the release of our latest white paper 'Measuring users' comfort in Autonomous Vehicles' we are excited that our partners @CPCatapult will be hosting a webinar with @UniversityLeeds, @NatashaMerat to discuss this & more. Find out more & register: https://bit.ly/31BVDSj
Tom Levermore, Senior Systems Engineer, from our project partner @CPCatapult was interviewed for @AUVSI Unmanned Systems magazine in the US on #MuCCA.
Give it a read here: https://bit.ly/3bWmScA
Our CTO @mcwestwood spoke to the @EveningStandard's @jessicabateman about what #publictransport will look like in 2030 and specifically the bigger role data is going to play. What do you think the future holds for public transport? #FutureLondon #CleanAir https://www.standard.co.uk/futurelondon/cleanair/public-transport-2030-electric-a4444636.html