Adaptive Traffic Control System

Challenges


Traffic congestion icon

Low level of lane discipline

Mixed vehicles

High mix of traffic

Diversion signs

Poor junction geometry

Our Solution




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.

Efftronics Adaptive traffic Solutions


ATCS Elements




Elements provide by Efftronics for Smart transport


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



Benefits


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Reduce Accident Rates

Vehicle speed icon

Increase Travel Speeds

Operational Efficiency icon

Increase Operational Efficiency

Real Time Info icon

Real Time Information management

Database icon

Create a platform for sharing traffic to other systems

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Environment friendly

Case Studies


Gandhinagar smart city logo

Gandhinagar Smart City, Gujarat, INDIA

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.

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