Completed Engineering Computing & AI

Venturer

In plain English

AI plain-English summary

Driverless cars are about to share real roads with cyclists, pedestrians, and erratic human drivers in Bristol, and researchers want to know how the public will react before the technology goes mainstream. The core problem is trust. Autonomous vehicles already work well on empty test tracks, but dense city streets are far messier. People worry about how a robot car will handle a child running into the road, a cyclist swerving, or a driver ignoring a red light. Without public confidence, the safety and emissions benefits of self-driving cars will never materialise. VENTURER fills this gap by combining insurance data, social surveys, and real-world trials of cars and electric passenger pods with a virtual simulation that can test thousands of tricky scenarios safely. If the project succeeds, it will produce evidence that policymakers can use to shape regulations, insurance rules, and road infrastructure. That could mean clearer legal frameworks for autonomous vehicles, safer integration with cyclists and pedestrians, and a managed transition that avoids public backlash. The Bristol testing grounds will also become a permanent resource for future trials. The work is applied and policy-focused—it does not aim to invent new self-driving hardware, but to solve the human and regulatory puzzle that currently blocks deployment.

View original technical description
Cars that drive themselves promise massive improvements in safety, much reduced congestion, and the potential to help reduce climate change emissions. The key barrier to public acceptance is lack of confidence in how they might respond to the real events that happen on real roads; cyclists, pedestrians, bad drivers. Dense cities are the most challenging scenarios. Based on deep insurance expertise and extensive social research VENTURER will quantify the response of the public (passengers, road users, pedestrians) to increasing levels of driver assistance, and in some of the most complex road & traffic scenarios. Using safe on-road trials of cars and electric passenger pods, alongside an accurate virtual simulation, VENTURER will gain a deep understanding of public attitudes and reactions to inform public policy, and signpost the way towards a safe and managed transition to driverless cars. Establishing testing grounds for autonomous vehicles and technologies in the Bristol area, VENTURER will boldly go where no car has gone before!

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Related Research

Grants with similar aims, by meaning.

TASCC: The Cooperative Car
Learning through AMBient Driving styles for Autonomous-Vehicles. LAMBDA-V
Methods for Assurance of Self-Driving Vehicles (MASSDRIVE)
D-RISK: Validating the autonomous vehicle safety-case using simulation and adaptive test generation
proactive SAFEty systems and tools for a constantly UPgrading road environment

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Collaborative R&D

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