City-Scale Traffic Management
with AI Intelligence

Real-time monitoring and predictive control for urban intersections.

Reduces congestion, prioritizes emergency vehicles, automates enforcement.

32%

Wait Time Reduction

Average across all intersections

95%

Prediction Accuracy

LSTM neural network model

45%

Faster Emergency Response

Green corridor automation

How It Works

Three-stage intelligent traffic control system

Real-time traffic data collection from sensors and cameras at all intersections

AI-powered congestion forecasting using LSTM neural networks with 95% accuracy

Automated signal timing adjustments and emergency vehicle green corridors

Deep learning and real-time data processing

Deep learning models forecast traffic patterns with 95% accuracy, enabling proactive signal adjustments before congestion occurs.

Real-time forecasting

Dynamic signal timing automatically adjusts based on live traffic flow, reducing average wait time by 32% across all intersections.

32% wait time reduction

Automatic green corridors for emergency vehicles with GPS tracking, reducing ambulance response time by 45%.

Green corridor activation

AI-powered vision system detects violations and automatically issues e-challans with photographic evidence.

Automated violation detection

Access the admin control panel to monitor traffic, review AI predictions, and manage emergency responses in real-time.