TomTom is integrating its real-time and historical traffic data, speed profiles and map elements into autonomous-technology developer rideOS’s routing platform for self-driving vehicles to improve predictive analysis.
The mapping company sources real-time traffic updates from 550 million data points around the world and that information now will be part of rideOS’s software that synthesizes, manages and distributes critical safety data and routes for transporters.
RideOS’ services also now will be compatible with TomTom’s high-definition maps, and the two companies will explore additional opportunities together.
“The future of self-driving technology is dependent on mapping and navigation technologies. High-definition maps, real-time and historical traffic data, live data from vehicle sensors, and more, must be filtered through a coordinating layer such as rideOS if we are to get past the hurdle of self-driving and human-operated vehicles driving side-by-side,” says Anders Truelsen, managing director-TomTom Enterprise.
Meanwhile, software developers will have an easier time adding location-based services to their Internet of Things and Smart City applications, thanks to a new package of tools released by semiconductor supplier STMicroelectronics and navigation specialist TomTom.
The development tools are designed around the STM32 Open Development Environment that connect directly to TomTom Maps APIs (application programming interfaces) for location, tracking and mapping data services, which is expected to shorten development times for software engineers and designers.
Both ventures were announced by TomTom today at the TechCrunch Disrupt SF event in San Francisco.
