Patents:
AI-Based Traffic Management System: A patent for a traffic management system developed in collaboration with the University of Huddersfield's AI experts has been granted. This system utilizes artificial intelligence to optimize traffic flow and reduce congestion.
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Predictive Traffic Management System: This patent describes a system that interfaces with various traffic control systems to provide predictive analysis and management, aiming to enhance traffic flow and safety.
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Smart Traffic Signal System: This invention relates to a "smart" system that broadcasts traffic signal status to vehicle-based receivers, enhancing real-time traffic management and communication.
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AI-Based Traffic Control System: This patent involves identifying traffic entities, including vehicles and pedestrians, in image data streams obtained from multiple cameras installed at traffic signals, facilitating real-time traffic management.
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Vehicle-to-Everything (V2X) Technology: NoTraffic secured U.S. patent protection for its V2X technology that powers its AI platform, enabling communication between vehicles and traffic management systems to optimize flow and safety.
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Copyrights & Trademarks:
InSync® by Rhythm Engineering adapts traffic lights in real time using sensors, reducing congestion and delays. InSync has been deployed in numerous municipal and city traffic grids across the United States.
SynchroGreen® (by Trafficware/Cubic) similarly adjusts signal timing through real-time data, integrating with tools like Synchro to cut stops, delay, and emissions.
SCATS® (from New South Wales, Australia, commercialized by Transmax) continuously measures traffic flow and dynamically adjusts signals. It is widely used throughout Australia and internationally, including in parts of Asia, the United States, and the Middle East.
QuicTrac® by Econolite focuses on real-time signal control by collecting vehicle and pedestrian data for optimized timings. QuicTrac often integrates into Econolite’s broader transportation solutions platform, combining controllers, cloud-based software, and detection hardware.
ACS Lite™ by Siemens Mobility, developed with the FHWA, is a simplified, cost-effective adaptive system that relies on existing infrastructure (e.g., loops, video, radar) to make incremental timing changes.