Skip to main content

Consortium gets £4.7m to investigate AV technologies

An industry group led by Jaguar Land Rover has been given a multi-million pound grant to increase the road performance and safety of autonomous vehicle (AV) technologies. The AutopleX consortium – which also includes INRIX, Highways England, Siemens, Transport for West Midlands and University of Warwick - is to receive £4.7 million as part of the Centre for Connected and Autonomous Vehicles’ CAV3 competition. It is tasked with developing fully- and semi-automated vehicle technologies through simulation an
April 26, 2018 Read time: 2 mins

An industry group led by 7998 Jaguar Land Rover has been given a multi-million pound grant to increase the road performance and safety of autonomous vehicle (AV) technologies.

The AutopleX consortium – which also includes INRIX, Highways England, Siemens, Transport for West Midlands and University of Warwick - is to receive £4.7 million as part of the Centre for Connected and Autonomous Vehicles’ CAV3 competition.

It is tasked with developing fully- and semi-automated vehicle technologies through simulation and public road testing both on motorways and in urban environments in the West Midlands. 

Analytics company INRIX will provide real-time, historical and predictive data – such as hazards, speeds and restrictions - to Jaguar Land Rover vehicles to enhance safety when performing functions such as merging into traffic.

“The ability for AVs to identify upcoming route and roadway conditions based on real-time data will significantly improve their overall driving performance,” said Avery Ash, autonomous vehicle lead at INRIX.

AutopleX is already leading a project to develop self-driving cars with technology that enables them to ‘see’ at blind junctions and through obstacles.

UTC

Related Content

  • September 12, 2019
    Zenzic identifies ‘golden threads’ to accelerate AV roll-out
    A UK organisation has identified 500 ‘milestones’ to be passed in order to get connected and autonomous vehicles (C/AVs) on the road in numbers by 2030. Zenzic, which was set up by government and industry to coordinate a national platform for testing and developing C/AVs, has launched the UK Connected and Automated Mobility Roadmap to 2030. It identifies six ‘golden threads’ which highlight areas dependent on cross-industry collaboration to make self-driving services accessible to the public by the end of
  • September 6, 2017
    Remote remedies help US authorities identify bridge deficiencies
    Every day 185 million vehicles – cars, trucks, school buses, emergency response units - cross one or more of America’s 55,710 'structurally compromised' steel and concrete road bridges, the highest concentration of which are in Iowa (nearly 5,000), Pennsylvania and Oklahoma. Nearly 2,000 of these crossings are located on interstate highways, according to the American Road and Transportation Builders Association's recent analysis of the US Department of Transportation's 2016 National Bridge Inventory.
  • April 13, 2017
    AECOM-led consortium secures funding for CAV pilot scheme
    An AECOM-led consortium has secured more than US$5.2 million (£4.2 million) of funding from Innovate UK and the Centre for Connected & Autonomous Vehicles (CCAV) to deliver a pilot scheme that could pave the way for the use of connected and autonomous vehicles to move people around airports, hospitals, business parks, shopping and tourist centres. The pilot project includes the design, development and testing of new autonomous and connected pods on-demand (PODs), culminating in on-road public trials at L
  • August 29, 2019
    Don’t drive drunk – or use a hands-free phone
    Despite law changes, drivers’ bad habits have been creeping back in. TRL’s Dr Shaun Helman tells Adam Hill why using a phone at the wheel is just as distracting as driving after a few drinks esearch from as far back as 2002 (see box) suggests that driving while making a phone call – either hands-free or holding a handset to your ear – creates the same amount of distraction as being drunk behind the wheel. While it is notoriously hard to predict how alcohol will affect an individual (due to the speed of