MOVE_UK completes phase of real world autonomous driving in Greenwich

New validation method will shape new safety requirements and insurance products for autonomous driving self-driving vehicles

MOVE-UK has been using specially equipped Land Rover vehicles on the streets of Greenwich

MOVE-UK has been using specially equipped Land Rover vehicles on the streets of Greenwich

The MOVE_UK consortium has completed the first phase in its three-year fully autonomous vehicles research programme, which is intended accelerate the development of automated driving systems and make them intelligent and safe enough for the UK’s roads.

Taking place in the Royal Borough of Greenwich, south-east London, the project has enabled the MOVE_UK consortium to develop a new validation method. It is anticipated that the validation method will reduce introduction time of highly automated driving technologies, and shape new safety requirements and insurance products designed for autonomous driving.

Richard Cuerden, academy director at TRL, said: “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 are able to 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.”

The project’s data is gathered from sensors installed on a fleet of Land Rover vehicles that have so far completed more than 30,000 miles of driving on public roads in Greenwich by council workers from their fleet services department. As part of the new validation method, data is selected and recorded intelligently, 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 then automatically transferred to a central cloud, allowing researchers to analyse it remotely, using newly developed tools. As a result, the consortium partners are able to analyse how automated driving functions respond in the real world, helping to ensure that future autonomous vehicles drive in a natural way, retaining the positive driving characteristics of a good driver.

The next two phases of the project will see additional sensors added to the test vehicles, so by the end of the project the data gathered will be from full 360-degree surround sensing.

Arun Srinivasan, executive vice president and head of mobility solutions at Bosch UK said: “This ground-breaking project is a major step for the UK in becoming a world leader in automated and connected vehicle technology. The data collected is particularly valuable, as it is being generated through ‘real world’ driving, rather than from the test track. As the project’s lead partner, we are pleased that the new validation method being trialled takes us one step closer to fully autonomous driving and to our vision of accident-free and stress-free driving for the future.”

MOVE_UK is jointly funded by government and industry. The project has received a £3.4m UK government grant from the government’s £100m Intelligent Mobility fund, which is administered by the Centre for Connected and Autonomous Vehicles (CCAV) and delivered by Innovate UK. 

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.” 

The MOVE_UK research programme is also allowing Direct Line and The Floow to start developing more accurate insurance models associated with automated driving technology. This has only been possible due to the unprecedented volume of ‘real world’ data available which will help towards providing insurance products and pricing that is more closely linked to risk. At the same time, TRL has started to use the Big Data resource to develop a UK framework for regulatory and type approval safety requirements for automated driving technologies.

The leader of the Royal Borough of Greenwich, Cllr Denise Hyland said: “The council is committed to understanding the impacts of autonomous driving technologies and the opportunities they will provide to local residents and businesses. The project links to our work on smart cities and smart mobility and is one a series of projects taking place in the borough’s Smart Mobility Living Lab.”