Highway Incident Detection is the automated identification of abnormal events on roadways, such as collisions, stalled vehicles, debris, or sudden traffic slowdowns, using data from cameras, loop detectors, radar, or distributed fiber-optic sensing systems. Timely detection enables rapid emergency response and traffic management interventions that reduce secondary accidents and congestion. Research in this area applies computer vision, anomaly detection, and time-series analysis to achieve reliable, low-latency detection across diverse road and weather conditions.

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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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