Traffic Technology TodayTraffic Technology Today
  • News
    • A-D
      • Appointments & Staffing
      • Asset Management
      • Autonomous Vehicles & ADAS
      • Awards
      • Cloud Computing
      • Congestion Reduction
      • Connected Vehicles
      • Covid-19
      • Cybersecurity
      • Data & Modeling
      • Deals, Acquisitions & Mergers
    • E-J
      • Electric vehicles & infrastructure
      • Emissions & Low Emission Zones
      • Enforcement
      • Event News
      • Funding
      • Incident Detection
      • Infrastructure
      • Intersections & Traffic Signals
      • ITS
    • K-S
      • Legal / Government Regulation
      • Machine Vision / ALPR
      • Mapping
      • Mobility as a Service
      • Multimodality & Micromobility
      • Planning, Testing, R&D
      • Public transit
      • Safety
      • Smart Cities
      • Smart Parking
    • T-Z
      • Tolling
      • Traffic counting & categorization
      • Traffic Management
      • Traveler Information Systems
      • Tunnels & Bridges
      • Variable Message Signs
      • Vulnerable Road Users
      • Weather systems
  • Features
    • Features
    • Opinion
  • Online Magazines
    • May 2025
    • March 2025
    • December 2024
    • September 2024
    • June 2024
    • Archive Issues
    • Subscribe Free!
    • > Tolltrans
  • Video & Audio
    • Video
    • Audio
  • Podcast
  • Events
  • Webinars
  • Technology Profiles
LinkedIn YouTube X (Twitter)
LinkedIn YouTube X (Twitter)
Subscribe >
Traffic Technology TodayTraffic Technology Today
  • News
      • Appointments & Staffing
      • Asset Management
      • Autonomous Vehicles & ADAS
      • Awards
      • Cloud Computing
      • Congestion Reduction
      • Connected Vehicles
      • Covid-19
      • Cybersecurity
      • Data & Modeling
      • Deals, Acquisitions & Mergers
      • Electric vehicles & infrastructure
      • Emissions & Low Emission Zones
      • Enforcement
      • Event News
      • Funding
      • Incident Detection
      • Infrastructure
      • Intersections & Traffic Signals
      • ITS
      • Legal / Government Regulation
      • Machine Vision / ALPR
      • Mapping
      • Mobility as a Service
      • Multimodality & Micromobility
      • Planning, Testing, R&D
      • Public transit
      • Safety
      • Smart Cities
      • Smart Parking
      • Tolling
      • Traffic counting & categorization
      • Traffic Management
      • Traveler Information Systems
      • Tunnels & Bridges
      • Variable Message Signs
      • Vulnerable Road Users
      • Weather systems
  • Features
    • Features
    • Opinion
  • Online Magazines
    1. May 2025
    2. March 2025
    3. December 2024
    4. September 2024
    5. June 2024
    6. March 2024
    7. Archive Issues
    8. Subscribe Free!
    9. > Tolltrans
    Featured
    New issue graphic
    May 7, 2025

    Read the new TTi digital magazine online now – May 2025

    ITS By Tom Stone
    Recent
    New issue graphic

    Read the new TTi digital magazine online now – May 2025

    May 7, 2025

    NEW TTi MAGAZINE! Read the March 2025 digital edition online now

    March 21, 2025

    Digital magazine – read the new issue of TTi online for free – December 2024

    December 12, 2024
  • Video & Audio
    • Video
    • Audio
  • Podcast
  • Events
  • Webinars
  • Technology Profiles
LinkedIn YouTube X (Twitter)
Traffic Technology TodayTraffic Technology Today
Connected Vehicles

Connected cars project aims to end multi-car crashes on UK motorways

Tom StoneBy Tom StoneSeptember 21, 20172 Mins Read
Share LinkedIn Twitter Facebook Email

An Applus+ IDIADA-led consortium has been awarded UK government funding toward the development and trial of technology that could radically reduce the number of multi-car collisions on motorways.

The Multi-Car Collision Avoidance (MuCCA) project will use artificial intelligence (AI) and vehicle-to-vehicle (V2V) communications to help cars, and eventually autonomous vehicles (AVs), make cooperative decisions to avoid a potential accident. The trial will also require the MuCCA system equipped vehicles to predict the likely movements of cars controlled by human drivers using AI methods. If the MuCCA-controlled vehicles cannot avoid an accident altogether, the aim will be to minimize the consequences.

The MuCCA project, led by the Spain-based automotive design and testing company Applus+ IDIADA, and including Cranfield University, Westfield Sports Cars, Cosworth, the Secured by Design (SBD) consultancy, and the Transport Systems Catapult (TSC), will also develop data logging capabilities to create a record of the exact causes of accidents.

A computer-simulated environment will also be created, in which the vehicles’ AI systems can practice complex crash scenarios before being trialled on real-world test tracks. The funding is the result of a competition from Innovate UK, the government’s national innovation agency, and the Centre for Connected and Autonomous Vehicles (CCAV).

“The beauty of connected vehicles is that they can share and combine sensor data with other vehicles, making them more than the sum of their parts,” explained Charlie Wartnaby, chief engineer at IDIADA.

“We can use this ability to allow machine logic to take control of a group of vehicles such that they work together in an emergency to avoid an accident, deciding optimal joint trajectories to avoid complex collisions with both human and machine-driven vehicles in a way that human drivers could not.

“Even a single MuCCA vehicle will have superlative collision avoidance capability using its 360° prediction of human-driven vehicles around it. Connected and autonomous vehicle (CAV) technology offers us an opportunity to work toward the elimination of serious accidents on our roads, saving lives and easing congestion. In this project, we will aim to show exactly how this can be done, while taking us another step closer to fully autonomous cars.”

Professor Aouf from Cranfield University added, “CAV technology is the guarantee of making car traffic safer in the future. This project is an opportunity for us to develop innovative machine learning and decision-making techniques for the new generation of cooperative autonomous cars.”

Share. Twitter LinkedIn Facebook Email
Previous ArticleVolkswagen leading major European automated driving research project
Next Article Cranfield University and Spirent to develop positioning technology for autonomous vehicles
Tom Stone

Tom has edited Traffic Technology International (TTi) magazine and its Traffic Technology Today website since May 2014. During his time at the title, he has interviewed some of the top transportation chiefs at public agencies around the world as well as CEOs of leading multinationals and ground-breaking start-ups. Tom's earlier career saw him working on some the UK's leading consumer magazine titles. He has a law degree from the London School of Economics (LSE).

Related Posts

Funding

Podcast 49: Kirk Steudle on the new US Administration, public vs private and the future of ITS

May 2, 20251 Min Read
Environment & Emissions

London’s new Silvertown tunnel closed due to bicycle protest

April 30, 20253 Mins Read
Funding

TfL to invest £87m in London’s cycleways and VRU safety

April 25, 20253 Mins Read
Latest Posts
Fibes Exhibition Centre, Seville

EXCLUSIVE: ITS European Congress Guide

May 9, 2025
New issue graphic

Read the new TTi digital magazine online now – May 2025

May 7, 2025

Adept Live Labs 2 launches pledge to drive decarbonisation across UK highways

May 7, 2025
FREE WEEKLY NEWS EMAIL!

Get the ‘best of the week’ from TrafficTechnologyToday.com direct to your inbox every Thursday


Supplier Spotlights
Our Social Channels
  • Twitter
  • YouTube
  • LinkedIn
Getting in Touch
  • Free Email Newsletters
  • Contact Us
  • Meet the Editors
  • Supplier Spotlight

Upcoming Events

May 19
May 19 - May 21

ITS European Congress – Seville 2025

May 21
May 21 - May 22

Traffex

Jun 17
June 17 - June 19

Intertraffic Americas – Mexico City 2025

View Calendar
© 2023 Mark Allen Group Ltd | All Rights Reserved
  • Cookie Policy
  • Privacy Policy
  • Terms & Conditions

Type above and press Enter to search. Press Esc to cancel.