DfT Connected Vehicle Data Research Report (PDF)
The report explains the current and near-future opportunities for connected vehicle (CV) data to improve traffic management operations. It describes a framework for realising the benefits of using CV data, including the interventions required. The capability and needs of traffic management and other relevant systems to store, analyse and provide future predictive capability is considered throughout and is core to the development of the strategy. The strategy aims to be a call to action addressed to government, identifying what they should invest in to progress CV data at scale. It is a strategy that can be applied nationally, covering local authorities (LAs) and Highways England and it could also be appropriate to the devolved nations. DfT’s aim is that it will form part of a wider government approach, aligning with EC and government strategies and policy including the Future of Mobility Urban Strategy (FOMUS). The strategy is agnostic about the communications technology to connect the vehicles, and is focused on connected vehicles rather than automated vehicles, although recognising that CV data services may in future support autonomous driving.
The research sets out the potential of connected vehicle (CV) data to improve journeys for all. Anonymous data generated by ‘talking traffic’ technology could be used by local and highways authorities to reduce traffic congestion, boost road maintenance and improve transport planning – all at a lower cost to the taxpayer.
The analysis identified 6 key themes for a potential strategy:
This report is part of the Future of Transport programme, which aims to shape transport innovation and secure the UK’s position as a leader in the transport sector of the future.