The Bridgestone Road Conditions portfolio provides insights based on aggregated and anonymised data from Webfleet-connected vehicles.
As a first step, customers can access two solutions that help identify the location and severity of road damage, as well as visualise various road assets.
The Road Damage Detection solution identifies road anomalies by analysing anonymised and aggregated data leveraged from connected vehicles, which are equipped with Webfleet’s fleet management solutions. Using sensors and vehicle data, this tool determines the locations of road damage, such as potholes, cracks and patches.
The Artificial Intelligence (AI) algorithm enables the severity of road damage to be defined, helping drivers and fleet owners reduce the risk of accidents, as well as prevent damage to tyres and vehicles. Cities and road authorities can utilise these insights for preventive maintenance and infrastructure planning.
Additionally, the Road Asset Visualisation solution provides intelligence on roads and infrastructure by analysing multiple connected vehicle sensor as well as camera data. Vehicle-mounted cameras use Edge AI capabilities to process data on the device in real-time, ensuring data privacy by uploading only anonymised data to the cloud for further analysis. This way, road assets and characteristics such as road signs, traffic lights and lane markings can be visualised and flagged if they are damaged, vandalised or blocked by vegetation.
Raghunath Banerjee, Vice President of Data Solutions at Bridgestone Mobility Solutions, said: "Bridgestone Road Conditions can help increase road safety and comfort by providing real-time data insights on road damage that allow preventive road maintenance, infrastructure planning and optimised traffic flow.”
"These advanced data solutions will play a fundamental role in the digital transformation of future mobility, enabling development of smart cities, mobility-as-a-service providers as well as connected and autonomous vehicles.”