Investigating connected and autonomous vehicles with real-life driving data

A new partnership has focused on using human-driver data to improve the performance and acceptability of connected and autonomous vehicles (CAVs). ‘Learning through AMBient Driving styles for Autonomous-Vehicles’ (LAMBDA-V), is a one-year feasibility study into how human-driver behaviour can be analysed and used to accelerate the adoption of CAVs, and is part of the UK Government’s £22 million funding from the Centre for Connected and Autonomous Vehicles (CCAV) for projects to develop autonomous vehicles.

https://www.intelligenttransport.com/transport-news/73449/connected-autonomous-vehicle-data/