Accelerometers and ABS sensors – that measure the acceleration and braking of the car - allow the required data to be captured continuously during each journey. Meanwhile, innovative virtual sensors estimate the friction between the tyres and the road surface based on wheel slip. The combined data is anonymised and transmitted to the cloud, where aggregated information from all connected vehicles is paired with metadata, such as weather information or previous measurements. Using the data collected, the road network can be displayed as a precise three-dimensional model, which is used to send alerts to vehicles when they find themselves approaching or within an area with bad road surfaces.
If a connected vehicle encounters icy conditions, for example, the driver will be alerted via the vehicle’s infotainment system based on information acquired by the car itself. This information is then anonymously transmitted via the Car-to-Cloud application, alerting nearby drivers – the more connected cars that encounter the affected road, the more ‘swarm’ data is produced and the more accurate the maps, information and driver alerts will become.
This swarm intelligence enables precise analysis, helping to build the self-learning system. Over the course of 2021, more than 1.7 million Volkswagen Group vehicles in Europe will supply data, a figure set to rise to more than three million by the end of 2022. The ‘Local Hazard Information Service’ is available for the ENYAQ iV, FABIA, KAMIQ, KODIAQ, OCTAVIA, SCALA and SUPERB in the UK and is part of ŠKODA Connect services. The service can be used in 30 countries, provided that the vehicle features the Amundsen or Columbus infotainment system.
Sensor data opens up numerous usage opportunities
The underlying technology can be used for numerous other applications too: for example, road authorities can use the data to obtain real-time information about different road sections, allowing them to gain insight into the condition of the road network. They can find out where the potholes are, which areas are slippery when wet, or tend to freeze quickly. The data can also provide information as to which roads have already been gritted or cleared.