TomTom's Location Intelligence - which includes traffic information and HD map services - can also be used for in-vehicle navigation applications and autonomous driving.
The location data could be used, for example, to more accurately predict the range of electric vehicles based on driving behavior and the planned route. Another example: Based on the location data and the navigation behaviour of our vehicles, vehicle OEMs in their role as service providers can find out which connectivity offer is best suited for online navigation for a driver. "For OEMs this is a real gamechanger," TomTom Chief Product Officer Cees van Dok.
From Microsoft's perspective, automakers possess the most reliable data because these data are generated from sensors in the cars of their customers. Often, however, this data is not readily available to gain insight and make data-based decisions. With MCVP, which functions as the digital chassis of the networked vehicle, the sensors send their measurement data in a uniform data model and are thus intended to solve this problem.
TomTom and Microsoft announced their collaboration in December 2016 to provide location-based services for Azure. Since February 2019, Microsoft has relied on TomTom as the location data provider for its products, including the Bing search engine, the Cortana digital assistant, the Windows operating system and other future offerings.