The Challenge
With a rapidly growing population and vehicle count, Dubai was facing increasing traffic congestion during peak hours. Traditional timer-based traffic signals were inefficient, leading to unnecessary delays and higher carbon emissions. The RTA needed a smart, adaptive solution to optimize traffic flow in real-time.
Our Solution
We implemented a comprehensive Smart Traffic Management System leveraging Computer Vision and AI.
Vision-Based Detection
Deployed AI-powered cameras at key intersections to count vehicles and analyze queue lengths in real-time.
Adaptive Signal Control
Signals dynamically adjust their timing cycles based on current traffic density rather than fixed schedules.
Incident Management
Automated detection of accidents and stalled vehicles, alerting the command center instantly for rapid response.
The Outcome
The pilot implementation resulted in a 25% reduction in average commute times across the controlled corridors. Carbon emissions dropped by 15% due to reduced idling, and traffic incident response times improved significantly.