Completed Engineering Computing & AI

MOVE-UK: accelerating automated driving by connected validation & big data analysis

Funder InnovateUK (part of UKRI)
Recipient organisation Robert Bosch Limited
Funding £3.4M
Period Jul 2016 — Jul 2019

In plain English

AI plain-English summary

Bosch, Jaguar Land Rover, and five other partners are putting driverless car systems through real-world road tests, feeding the data into a central store to speed up safety validation. Automated vehicles already work in controlled settings, but proving they are safe enough for public roads remains slow and expensive. The MOVE-UK project tackles this bottleneck by generating large volumes of real driving data—not to control test cars, but to build a unique data store that allows faster, cheaper safety demonstrations. Without this, manufacturers face years of costly testing before driverless cars can reach the market. If the project succeeds, it could accelerate the commercial rollout of automated vehicles in the UK. That would affect how people travel, but also reshape systems most people never see: traffic management in “smart cities,” insurance models, and the way local authorities plan services. The project also helps partners understand how driverless technology will change their own businesses—from vehicle manufacturing to insurance to road-safety regulation. The result is a practical pathway from prototype to road-ready, not a fundamental science investigation.

View original technical description
The MOVE-UK project will help the UK to become a world leader in the development of automated and driverless cars. The project partners (Bosch, Jaguar Land Rover, TRL, Direct Line Group, The Floow and the Royal Borough of Greenwich) will speed up the entry of automated, driverless car technologies to the motor market. The project will allow these technologies to be developed and tested more rapidly and at lower cost to manufacturers. Driverless systems will be tested in the real world, providing large amounts of data that will be used to develop and improve the technology. These technologies will not control the test vehicles but will generated information which will be fed into a unique data store. This data store will allow us to develop new, faster ways of improving and demonstrating the safety of the automated driving systems. We will also use this information to provide “smart cities” with new ways to improve services for residents and the environment; to help us understand how detailed data from cars can be used in the future to benefit drivers; and, to help the project partners to understand the how driverless technologies will change their businesses in the future.

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Original classification

Collaborative R&D

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