Geospatial data and CAVs
Connected and Autonomous Vehicles
Connected and Autonomous Vehicles will have a significant impact on the future of mobility and transport, and geospatial data is at the heart of the smart technology.
Driverless carsFor Connected and Automated Vehicles (CAVs) – or self-driving cars – to succeed, there must be 100% confidence in the data that directs them, manages them, and brings them to life.
CAVs will need to find their way reliably through a vast network of streets; they will need to understand the best routes, in real-time, between the start, during and end points of a journey and exchange information wirelessly with other autonomous cars, infrastructure and other devices outside the vehicle.
Connected transport improves safety
It doesn’t matter how ‘smart’ a solution is, there’s an intrinsic need to include accurate maps and location data in systems from the outset. By combining up-to-date geospatial data with smart car technology, we’ll have a platform to connect cars, decision-makers, assets and real-time developments (traffic, incidents).
People’s lives depend on reliable, accurate location data to help keep us safer on the road.
Supporting the E-CAVE projectOS has been asked to help shape a national infrastructure of CAVs in the smart mobility sector through a project called E-CAVE – Enabling Connected and Autonomous Vehicle Environments.
We’re helping define how CAVs can share positioning and safety information in real time. We’re helping to accelerate CAV testing programmes using geospatial technologies and standards; and supporting government’s vision for Britain to lead the way in CAV markets globally.