It uses downstream detection and provides user friendly interface to support day-to-day operation. Traffic data from junctions is consolidated in a central traffic system and Adaptive Traffic Control System (ATCS) algorithm determines optimized red-green phases of traffic signals in order to achieve junctions green-green synchronization across entire region of deployment. ATCS dynamically adapts to changing traffic conditions in real time. ATCS uses machine learning algorithms to analyse real-time traffic data from vehicle detectors to determine signal timings that are optimal for existing traffic conditions.
The duration of traffic signal’s red-green phases and green waves is automatically changed every cycle by examining the traffic conditions at intersections along the corridors or entire region of deployment.
- Reduce congestion with real-time traffic management
- Reduced air pollution
- Reduced fuel consumption
- Reduced delays
- Enhanced public transport time and reliability