Completed Engineering Computing & AI

DRIVEN: Insuring, Ensuring and Exporting Fleet Wide Level 4 Connected Autonomy

In plain English

AI plain-English summary

A fleet of six self-driving cars will navigate live traffic between Oxford and London, with their driving sessions authorised in real-time by a risk-assessment system that also handles insurance. The project tackles a fundamental barrier to commercial autonomous vehicles: how to prove a self-driving car is safe enough to engage its automated mode on a given road, at a given moment, in real traffic. Current systems lack a dynamic risk framework that can authorise Level 4 autonomy—where the car drives itself without human intervention—and simultaneously provide insurance coverage. DRIVEN integrates risk assessment directly into the vehicle’s control system, using distributed data sharing and connected learning to manage safety across the entire fleet. If successful, the project could unlock new service models for autonomous transport. The same risk framework that authorises a single journey could underwrite insurance policies, accelerate regulatory approval, and enable fleet-wide safety optimisation. This matters for infrastructure and logistics: widespread Level 4 autonomy would change how goods and people move on UK roads, but only if insurers, regulators, and the public can trust the system. DRIVEN aims to build that trust through live, verifiable trials.

View original technical description
DRIVEN aims to remove fundamental barriers to real-world commercial deployment of autonomous vehicles, by addressing the need for real-time risk assessment frameworks to authorise engagement of Level 4 autonomous driving sessions and provide pro-active connected insurance. This integration of risk and dynamic authorisation into a L4 autonomous vehicle control system is transformative, underpinned by distributed data sharing, learning and connected real-time risk management to optimise overall autonomous fleet safety and operation. To realise these developments, Oxbotica, a market leader in the deployment of real-world autonomy solutions in the UK, will lead a consortium including Oxford Robotics Institute, XL Catlin, Nominet, Telefonica, Transport Research Laboratory, RACE, Oxfordshire County Council and Westbourne Communications. The ambitious trials programme culminates in 6 co-operative L4 CAVs performing mixed urban and motorway driving routes in a live-traffic environment between Oxford and London. DRIVEN demonstrates autonomy as a viable service, unlocking new service models that enable widespread autonomy for UK plc and accelerate market implementation in UK and globally.

View the original record at the funder ↗

Related Research

Grants with similar aims, by meaning.

MOVE-UK: accelerating automated driving by connected validation & big data analysis
Cosmos
Learning through AMBient Driving styles for Autonomous-Vehicles. LAMBDA-V
StreetWise
Connected Digital Roads

Original classification

Collaborative R&D

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.