Nissan to lead human driving style AV project in the UK

Nissan’s European Technical Centre will lead a 30-month Autonomous Vehicle trial on UK country roads, high speed roundabouts, A-Roads and motorways with live traffic and different environmental conditions. Called the HumanDrive project, it will also emulate a natural human driving style with the intention of providing an enhanced experience for its occupants. The artificial driver model that controls perception and decision making will pilot the vehicle, and will be developed using artificial intelligence
February 2, 2018 Read time: 2 mins

838 Nissan’s European Technical Centre will lead a 30-month Autonomous Vehicle trial on UK country roads, high speed roundabouts, A-Roads and motorways with live traffic and different environmental conditions. Called the HumanDrive project, it will also emulate a natural human driving style with the intention of providing an enhanced experience for its occupants.

The artificial driver model that controls perception and decision making will pilot the vehicle, and will be developed using artificial intelligence technologies. The system will be subjected to testing using a range of facilities including, simulation, hardware in the loop, private test track and small sections of public roads before its full deployment.

HumanDrie is subsidized by the government’s £100m ($142m) intelligent mobility fund, which is administered by the Centre for Connected and Autonomous Vehicles and delivered by Innovate UK. It is also partly funded by industry.

In addition, the study will draw on the expertise from a range of organisations such as Hitachi and Transport Systems Catapult as well as Cranfield University, University of Leeds, Horiba Mira, Atkins, Aimsum, Sbd Automotive and Highways England.

Greg Clark, business and energy secretary, said: “Low carbon and self-driving vehicles are the future and they are going to drive forward a global revolution in mobility. This revolution has the potential to be worth £52bn [$73bn] to our economy by 2035 and the opportunity to be at the forefront of this change is one we cannot afford to miss.

“Through our Industrial Strategy and the Automotive Sector Deal investment in the development of driverless technology we are committed to working with industry to seize these opportunities. Trailblazing projects like the HumanDrive project will play a vital role helping us deliver on that ambition, with UK businesses and research institutions working with partners from around the world on the disruptive technologies and services of the future.”

For more information on companies in this article

Related Content

  • La Trobe University trials connected motorcycle technology
    June 11, 2025
    Melbourne academics' programme enhances riders’ awareness of hazards
    Read More
  • How MaaS and AVs can cut Oslo traffic
    June 17, 2019
    A new study shows that on-demand AVs and MaaS together could make a significant difference to traffic in Oslo, Norway – but only if ride-share is involved too If you replace today’s traditional private car ownership with a mixture of Mobility as a Service (MaaS) and on-demand autonomous vehicles (AVs) running door-to-door, you could make dramatic cuts in city traffic. That, at least, is the view of researchers from COWI and PTV, who have modelled a variety of future scenarios based on the morning rush h
    Read More
  • Transport for the North gears up
    January 13, 2015
    UK Transport Secretary Patrick McLoughlin attended the inaugural Transport for the North meeting as northern leaders met to discuss their plans to transform the region into a northern powerhouse. The meeting in Leeds heralded the first step of drawing up with the government a comprehensive transport strategy to transform the north’s economic infrastructure and help maximise the region’s growth potential, rebalancing the national economy. As well as examining east-west rail links to better connect the
    Read More
  • New ANPR solutions overcome variables
    May 18, 2018
    The sheer range of variables makes it difficult to find a single algorithm to ensure a 100% standard of ANPR. David Crawford investigates new processing technology. Automatic number plate recognition (ANPR), using optical character recognition and image-processing to identify vehicles, plays key roles in traffic monitoring and law enforcement, access and parking control, electronic toll collection, vehicle security and crime deterrence. Overall, system performance is well rated, with high levels of
    Read More

Highlighted Content