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Rekor Subsidiary Waycare Launches Road Safety Pilot with the Utah Department of Transportation (UDOT) and Utah Department of Public Safety (DPS)
Agencies testing Waycare's AI-based traffic management technology to improve incident management, reduce response times, and support greater cross-agency
About this update from Rekor Systems, Inc.
[{"type":"text","content":"Agencies testing Waycare's AI-based traffic management technology to improve incident management, reduce response times, and support greater cross-agency collaboration in the Salt Lake City regionCOLUMBIA, MD / ACCESSWIRE / September 21, 2021 / Today, Rekor Systems, Inc. (NASDAQ:REKR) (\"Rekor\" or the \"Company\"), a global AI technology company with a mission to provide intelligent infrastructure and insights that build safer, smarter and more efficient cities around the world, announced the pilot deployment of its traffic management technology within the Utah Department of Transportation (UDOT) and Utah Department of Public Safety (DPS). The pilot, which launched in July 2021, will focus on major corridors in the Salt Lake City region along Interstates 15, 215, and 80, as well as Utah State Route 201. The agencies will leverage the Company's solutions to enable quicker, more efficient incident management and mitigation strategies, in addition to improving its collaboration and reporting capabilities.\"Existing methods for incident identification and the collection of traffic data are in need of technological innovation. With the activation of this UDOT/DPS pilot, we are pleased to see the continuing adoption of our artificial intelligence and machine learning solutions among government agencies to address the rapidly expanding use cases for better roadway intelligence,\" said Robert A. Berman, President and CEO, Rekor.Using the Company's technology, UDOT's Traffic Operations Center (TOC) and Incident Management Team (IMT), as well as the Utah Highway Patrol (UHP), will be able to collaborate in real-time on incident detection and response efforts from both the field and the office. Furthermore, the agencies will gain access to advanced AI insights, processed from historical and real-time datasets from existing infrastructure, in-vehicle data, GPS navigation apps, weather forecasts, and more. The Company's integration of de-identified connected vehicle (CV) safety data enriches its algorithms, improving the accuracy and timing of incident identification, congestion detection, and crash prediction.The pilot will take place over the next several months with an option to extend longer pending internal evaluation between the partners involved. \"Regional collaboration is a vital component to effectively accelerating incident respo...