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.

Urban Traffic Control

For more information on companies in this article

Related Content

  • Applanix launch platform to speed up AV development programs
    January 25, 2018
    Appllanix has launched its Autonomy Development Platform to provide automakers, tier 1 vehicle supplier and truck makers with the hardware, software, engineering and integration services necessary to accelerate development programs for on-road and off-road autonomous vehicles. It combines Applanix’s GNSS-inertial positioning technologies with customized integration and engineering services for each stage of the development process.
    Read More
  • Rfpro develops platform to test AVs in simulated environment
    April 5, 2018
    UK-based Rfpro has launched a commercially available platform to train and develop autonomous vehicles (AVs) in simulation. The innovation is said to reduce the costs and time involved in developing these vehicles as well as provide a safe testing environment. The solution intends to replicate the real word to allow the various sensors of AVs to react naturally. In addition, Rfpro is producing a library of real roads created through precise scanning technology, to help form the basis of the simulation.
    Read More
  • Bespoke ITS is helping to reduced collisions on America’s rural roads
    October 22, 2014
    David Crawford cherrypicks conference and award highlights Almost 30% of all US citizens live in rural areas or very small communities, and 34 of the 50 states exceed this level in their own populations, with the proportions rising as high as 85%. And although rural routes carry only 35% of all traffic, the accidents that occur on them account for some 54% of all US road traffic accident deaths.
    Read More
  • Siemens snaps up Aimsun in deal agreed at Intertraffic
    March 22, 2018
    Intertraffic was the venue for the announcement of one of the biggest deals of the year as electronics giant Siemens acquired Barcelona-based mobility modelling specialist Aimsun for an undisclosed sum. Initially spun out from a university research lab team, TSS-Transport Simulation Systems, as the company was initially known, has spent 20 years developing its microsimulator into a multi-level integrated modeling platform. Aimsun systems and algorithms use real-time traffic data to optimise traffic flows
    Read More

Highlighted Content