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.

For more information on companies in this article

Related Content

  • HMI commence third driverless vehicle trial at La Trobe University, Melbourne
    November 15, 2017
    HMI Technologies (HMI) has launched its third self-driving vehicle trial with a consortium of partners at La Trobe University, in Melbourne, Australia. The trial intends to further help authorities and commercial businesses to research the benefits and limitations of the technology, and identify how it will become part of the public transport network of tomorrow. The La Trobe Autonobus (LTA) will soon connect students and staff at the University campus to other transport network nodes such as trams and bus
  • IBTTA summit hits right notes in Salzburg
    December 5, 2018
    In the birthplace of Mozart, Colin Sowman found that delegates at the IBTTA’s inaugural World Tolling Summit were playing a variety of interesting tunes The first World Tolling Summit took place in Salzburg, Austria this autumn. Created and organised by the International Bridge Tolling and Turnpike Association (IBTTA), the event was supported by its European counterpart Asecap and hosted by Austria’s tolling authority, Asfinag. The transfer of views, experience and practice both ways across the Atl
  • Smarter transport remains key to smart cities
    January 9, 2018
    Colin Sowman looks at some of the challenges and solutions that will provide enhanced transport efficiency in tomorrow’s smarter cities. However you define a ‘smart city’, one of the key ingredients will be an efficient transport system. As most governments and city authorities face financial constraints, incremental improvements in the existing systems is the most likely way forward. In London, new trains and signalling are improving the capacity of the Underground but that then reveals previously
  • Detection analysis technology successfully predicts traffic flows
    February 3, 2012
    David Crawford investigates new detection analysis technology from IBM. Locations on both the East and West Coasts of the US are scheduled for early deployments of IBM's new Traffic Prediction Tool (TPT) statistical analysis model for the fine-time resolution and near-term prediction of road flow conditions. Developed by IBM's Watson Research Laboratories, TPT is designed to analyse data from the the key detection indicators - average vehicle volumes and speeds passing a location in a given time interval -