AI Traffic Flow Analysis is the application of machine learning and computer vision techniques to measure, model, and predict the movement of vehicles and pedestrians across road networks. Using data from cameras, sensors, and connected infrastructure, AI systems extract metrics such as speed, density, headway, and turning movements to support traffic signal optimization, congestion forecasting, and urban planning. Research challenges include handling occlusion, varying lighting conditions, and scaling analysis across large, heterogeneous sensor networks.

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NEC Provides AI-Based Traffic Monitoring System with Fiber-Optic Sensing Technology for NEXCO CENTRAL

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NEC Corporation has deployed an AI-based traffic monitoring system to Central Nippon Expressway Company Limited (NEXCO CENTRAL). The system uses fiber-optic sensing and AI technologies to visualize traffic conditions, such as the location, speed, and direction of travel, from vibrations produced by vehicle movement.

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