Unlike existing models, Efftronics Adaptive Traffic Control System (ATCS) considers developing countries’ traffic scenarios, vehicular movements and responds in real time. 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.
Vehicle Detectors
Using deep learning-based vehicle detectors, Captures vehicle density, vehicle classification, speed and queue length with 90% accuracy.
ATCS Edge Application
Communicate & Analyze detector data with ML algorithms and update, send signal planning to controller as per demand.
ATCS Master Controller
Act as a junction signal controller by adjusting the signal timing patterns as per edge application ML algorithms inputs
LED Signal Lamps
LED Signal lamp which complies the Europian Standards EN12368 and IP65 grade with 5 years performance warranty
Countdown Timers
Wireless slaves to communicate with master controller which complies the Europian Standards EN12966 and IP65 grade with 5 years performance warranty
Adaptive Algorithm
ATCS algorithm determines optimized red-green phases of traffic signals in order to achieve junctions green-green synchronization.
ATCS Web Interface
Intelligent Web based application with secure logins to monitor, configure and update ATCS system which enables to oprate city
Real Time Reports
Live and Historical reports enables quick decesion making. The clear graphics allow rapid and intuitive interpretation of the real-time status of the network
ML Based Forecasting
ATCS uses advanced machine learning algorithms to analyse real-time traffic data for predictive maintenance to determine signal timings
API Services
High quality data sets, which is available to operators and city managers for their strategic planning
Detection system based on Camera detector with in-built advanced AI & Machine learning algorithms
Dynamically adapts to changing traffic conditions in real time
Use machine learning algorithms to analyse real-time traffic data from vehicle detectors to determine signal timings that are optimal for existing traffic conditions
It also helps to verify the effectiveness of the proposed timing plans in every cycle
The duration of traffic signal’s red-green phases and green waves is automatically changed every cycle
Interactive & Secure Mobile App to monitor junction’s status, equipment health status and operate police panel
As per IRC & EN standards
Interactive reports for quick decision making
System equipped with failure capturing feature at each hardware level & module level
Ensure system availability & reduce MTTR (Mean Time To Repair)
Flexibility to the operators to zoom, easily navigate and ability to interact with objects on the map
Bus priority compensation and emergency vehicle pre-emption
Integration to share the predicted forecasts to different dissemination systems
Suggestions to future infra requirements based on the real time traffic density
We proactively responds to failures to ensure system availability & performance
Support simulated insights to re-design traffic movements to improve efficiencies
Configure & update signal plans from centrally to any junction
Offering lifetime free feature updates
We also offer Secure Bluetooth based Mobile App to control Junction remotely with secure token for 30 mins (Police App)
Secure Integration with other systems like RLVD, Bus Transit, Emergency Vehicle Priority etc.,
Travel times ↓12-20% Waiting time @ signals↓20-40% @ Stops ↓15-30% Emissions ↓10-20%
Gandhinagar Smart City, India’s first smart city, and the second planned city after Chandigarh. Efftronics ATCS played a major role in solving the most vulnerable traffic problems and leads to the Vision of the city of being an equitable urban centre that provides a high quality of life to all its citizens.