TomTom, Flow Labs Join Hands For Real-time Road Network Optimization

CIOTechOutlook Team | Thursday, 05 October 2023, 09:27 IST

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TomTom (TOM2), a location technology expert, has announced a new relationship with Flow Labs, a transportation software provider focusing in Artificial Intelligence (AI) and transportation data integration. Flow Labs plans to merge TomTom's best-in-class traffic data into its AI solutions, which will provide transportation providers with real-time optimization and insights for any road, at any time.
 
Through this partnership, Flow Labs leverages TomTom’s historical and real-time traffic analytics based on anonymized speed data from more than 600 million connected devices. The result is an enhanced analytics platform that empowers transportation professionals and road authorities with data-driven insights to make critical transportation decisions with greater speed and ease. The Flow Labs Digital Twin platform integrates signal data, detection data, and connected vehicle data into a unified traffic management platform that optimizes traffic flow and enhances regional mobility, as per TomTom.
 
“We are excited to partner with Flow Labs who have developed bold, innovative solutions to improve road network safety and flow, starting with road traffic signal optimization,” said Ralf-Peter Schäfer, Vice President for Traffic & Travel Information at TomTom. “With access to TomTom’s uniquely rich and detailed traffic data, we enhance Flow Labs’ ability to address today's complex transportation problems in new ways."
 
“With TomTom, we’re getting a massive increase in connected vehicle data that helps us provide traffic managers with a crystal clear picture of what is happening on any given roadway, at any given time,” said Jatish Patel, Founder and CEO of Flow Labs. "TomTom's data enables us to generate unparalleled data accuracy and reliability, empowering powerful applications like traffic signal optimization and regional safety monitoring, including identifying high speed corridors and crash hot spots with improved incident detection.”
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