<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-22T07:57:45Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/1F4EF0A2-69CF-4AAB-82F7-A826293C7919" ns1:id="1F4EF0A2-69CF-4AAB-82F7-A826293C7919"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/1A260450-8B05-49C7-94A8-291F6D07EC52" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/040FDCFF-1BCD-45A5-82DB-72F98CEE3CAB" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/8D60FA62-A163-4C56-872A-FE230502E94F" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/9D47DE00-8388-4EEA-9966-9997B73ACFFB" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/040FDCFF-1BCD-45A5-82DB-72F98CEE3CAB" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/5894E1E6-6427-4214-8AFA-1403358100A2" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/4DF0E4C1-A28E-498B-BF90-CB28D2136C29" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/E41FCBE1-C899-4926-BFBC-766E7884F951" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2020-04-29T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/3AB88A6F-CD5A-4CE6-AA99-ACCBD81B2F07" ns1:rel="FUND" ns1:start="2017-07-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">103286</ns2:identifier></ns2:identifiers><ns2:title>Multi-Car Collision Avoidance</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>The Multi-Car Collision Avoidance (MuCCA) Project will develop a multi-car collision avoidance system that aims to reduce the occurrence and consequences (injuries and damage) of multi-car collisions on motorways. The technologies developed and used will be very similar to those that will be included within a fully autonomous vehicle including sensor systems, machine learning, vehicle-to-vehicle communications and vehicle control systems. To support the system development the project will also configure, integrate and develop a number of simulation tools to create a vehicle automation modelling and test environment that will facilitate a more rapid development of automated vehicles. This environment will include a human driver model to allow simulation and collision avoidance prediction of ordinary non-equipped vehicle paths, so that this technology provides immediate real-world benefits on today's roads. The technology, systems and tools being developed will be readily adaptable to the broader vehicle automation domain, facilitating a significant evolutionary step in vehicle cooperation and automated driving development in the UK.</ns2:abstractText></ns2:project>