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Transportation
Intelligent Transportation System for DriveOhio
The Challenge
Ohio required advanced detection systems across its highways and smart lanes to identify slow vehicles, detect wrong-way drivers, and improve pedestrian safety at busy intersections.
The Solution
DINION thermal cameras and MIC IP cameras with edge-based AI were deployed to automatically detect anomalies and integrate directly with traffic management centers and digital message boards.
The Results
When queues or hazards are detected, the system automatically triggers digital warnings to upstream motorists and transmits real-time CV2X safety messages to connected vehicles.
35-mile
Smart Corridor
9-mile
SmartLane Monitored
Real-time CV2X Alerts
The Challenge
DriveOhio serves as the state’s hub for smart mobility, working closely with the Ohio Department of Transportation to develop and deploy advanced automated transportation solutions. Facing the complex challenge of managing highway congestion and improving roadway safety, the agency needed a reliable way to monitor traffic flows, detect anomalies, and protect pedestrians across its extensive infrastructure.
The Solution
To achieve this, DriveOhio integrated an intelligence-first video security solution into its transportation network. Intelligent cameras equipped with edge-based video analytics were deployed along highways, off-ramps, and smart corridors. The system autonomously detects slow traffic, stopped vehicles, and wrong-way drivers, instantly triggering digital message boards to warn upstream motorists and alerting traffic management centers to coordinate a rapid response.
The Results
By transforming video data into real-time spatial and contextual understanding, the solution allows operators to move from reactive monitoring to proactive incident management. This continuous flow of actionable insight reduces congestion, protects vulnerable road users, and provides leaders with the clarity required to shape the future of safe, efficient mobility.
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