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Rekor Unveils Breakthrough AI-based Traffic Analytics System for Faster, Smarter, and Safer Traffic Studies
Rekor Showcases Transformational Safer Approach to Roadway Traffic Studies at ITS World Congress 2022COLUMBIA, MD / ACCESSWIRE / September 19, 2022 / Rekor
About this update from Rekor Systems, Inc.
[{"type":"text","content":"Rekor Showcases Transformational Safer Approach to Roadway Traffic Studies at ITS World Congress 2022COLUMBIA, MD / ACCESSWIRE / September 19, 2022 / Rekor Systems, Inc, (NASDAQ:REKR) (\"Rekor\" or the \"Company\"), a global AI technology company with a mission to provide data-driven insights that build safer, smarter and more efficient cities around the world through intelligent infrastructure, today announced the unveiling of its new non-intrusive AI-driven traffic data collection system. The system uses state-of-the-art computer vision and machine learning to deliver the utmost in safety, accuracy, performance, and simplicity for federally mandated vehicle classification data and more and will be demonstrated at ITS World Congress 2022.The edge-based system is a non-intrusive traffic data collection system designed and developed to collect and transform high-speed roadway data. It uses Rekor's proprietary \"edge-based\" optical sensors, which provide AI processing directly on the device for secure, high quality, holistic traffic insights in real-time. Customers are provided an intuitive cloud-based analytics dashboard for faster and more accurate decision making for transportation planning, roadway engineering, and traffic management. The system's high-quality, high-resolution data analytics accurately classify vehicles using the 13 vehicle classifications established by the Federal Highway Administration (\"FHWA\"), as well as information such as vehicle speed, vehicle volumes, traffic patterns, and a range of other data including vehicle type and tonnage, instances of electric vehicles traveling on roadways, and estimates of greenhouse gas emissions emanating from identifiable instances of traffic and congestion.FHWA developed a standardized vehicle classification system in the mid-1980s. This system was designed to meet the needs of various traffic data users. Historically, the collection of this key roadway data has been a physical process that can create long traffic delays since it involves closing lanes while deploying mechanical devices with rubber tubes. In other instances, it is necessary to dig up entire portions of roadways in order to embed sensors. This analog and manual process has been fraught with inefficiency, recurring maintenance issues and danger. According to the Bureau of Labor Statistics, from 2003-201...