Move_UK develop new validation method to speed up AV deployment

Move_UK has completed the first phase of its three-year research programme for the real-world testing of autonomous vehicles (AVs) in the borough of Greenwich, London. The project has enabled the company to develop a new validation method to reduce the time taken to test automated driving systems and bring them to market. The project’s data is gathered from sensors installed on a fleet of Land Rover vehicles that have already completed more than 30
October 20, 2017 Read time: 2 mins

Move_UK has completed the first phase of its three-year research programme for the real-world testing of autonomous vehicles (AVs) in the borough of Greenwich, London. The project has enabled the company to develop a new validation method to reduce the time taken to test automated driving systems and bring them to market.

The project’s data is gathered from sensors installed on a fleet of 7999 Land Rover vehicles that have already completed more than 30, 000 miles on public roads in Greenwich by council workers from their fleet services department. As part of the validation method, data is selected and recorded which helps to reduce the total volume of data collected and speed up validation of the automated driving functions in the real world. The data is automatically transferred to a central cloud, allowing researchers to analyse it remotely. Consortium partners assess how automated driving functions respond, helping to ensure that future AVs drive in a natural way and retain the characteristics of a good driver.

Business and energy secretary Greg Clark said: “Low carbon and self-driving vehicles are the future and the UK is determined to be one of the leaders in this technological revolution. Through our Industrial Strategy, the Government is laying the foundations to ensure the UK seizes the opportunities presented by the development of our next generation of vehicles.

“Government investment, through our Intelligent Mobility Fund, in the MOVE_UK programme is helping deliver this pioneering research into the ‘real world’ application of this technology. It is a collaboration between Government and industry that is building our expertise and reputation in self-driving technology and support our clean growth, low-carbon agenda.”

Richard Cuerden, academy director at 491 TRL commented: “The completion of the first phase of the project brings us another step closer to seeing autonomous vehicles on UK roads. Through MOVE_UK we can compare the behaviour of the automated driving systems with the behaviour of human drivers, which, in turn, will help to improve the safety and validation of automation systems.”

Classification & Data Collection

Related Content

  • March 22, 2016
    Government competition winners will use F1 technology to design greener cars
    Formula 1 technology could soon make family cars lighter, improve fuel efficiency and help plug-in vehicles go further - after an innovative research project won a share of a US$54.6 million (£38.2 million) UK government prize. The project is one of more than 130 car manufacturers, technology companies and research centres across the country to have won a share of the money, announced in the Budget, which will create hi-tech jobs and help Britain become a global leader in exporting state of the art, emis
    Read More
  • April 30, 2025
    Germany is Mad for Vitronic
    Managed Automated Driving project takes place in German city of Brunswick
    Read More
  • April 26, 2013
    ITS asset management matters
    Maintenance of on-road ITS kit needs to become more sophisticated; while new technologies can deliver better road maintenance. David Crawford investigates both sides of the issue "Good information is key to effective ITS asset maintenance,” says Ian Routledge of the Ian Routledge Consultancy (IRC), whose Imtrac (Information Management for TRAffic Control) system is poised for European expansion. Developed as an ‘intelligent filing cabinet’ for storing information about on-road equipment, the online database
    Read More
  • September 4, 2018
    Getting to the point
    Cars are starting to learn to understand the language of pointing – something that our closest relative, the chimpanzee, cannot do. And such image recognition technology has profound mobility implications, says Nils Lenke Pointing at objects – be it with language, using gaze, gestures or eyes only – is a very human ability. However, recent advances in technology have enabled smart, multimodal assistants - including those found in cars - to action similar pointing capabilities and replicate these human qual
    Read More

Highlighted Content