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Big Data, ML, and Geo Mapping for Real-Time Traffic Monitoring and Analysis

Posted December 15, 2020 | Technology |
Big Data, ML, and Geo Mapping for Real-Time Traffic Monitoring and Analysis
Increasingly, government agencies, businesses, universities, and other organizations are working together to build AI systems that analyze geo-mapped and other location-based data. One such impressive new ML application uses Uber driver data to track and alleviate urban traffic congestion. It is designed to give urban transportation analysts and traffic engineers access to information about city traffic patterns in order to relieve bottlenecks, chokepoints and other problems.
About The Author
Curt Hall
Curt Hall is a Cutter Expert and a member of Arthur D. Little’s AMP open consulting network. He has extensive experience as an IT analyst covering technology and application development trends, markets, software, and services. Mr. Hall's expertise includes artificial intelligence (AI), machine learning (ML), intelligent process automation (IPA), natural language processing (NLP) and conversational computing, blockchain for business, and customer… Read More
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