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Legacy systems force you to witness problems before solving them. CivicTwin AI redefines the standard: prevent before it begins.
AI Neural Networks predict congestion & bottlenecks 60 minutes in advance, empowering Operators to intervene before incidents ripple across the transport network.
Process millions of events via Apache Kafka. Sub-second latency updates across the entire network.
Dedicated Green Wave corridors for ambulances & fire trucks with AI-optimized signal timing.
1:1 clone of the city's road network in GIS space. Test any scenario—road closures, lane expansion, detours—before deploying to the real world.
Measurable outcomes that transform how cities manage traffic and respond to emergencies.
Faster Incident Response
Road Segments Monitored
Prediction Horizon
Real-time Processing
From raw sensor data to proactive city-wide decisions — in under 60 seconds.
Traffic cameras, flood sensors along the Han River, weather stations, and citizen reports are continuously streamed through Apache Kafka at 100k+ events per second.
LSTM neural networks analyze temporal patterns while Graph Neural Networks model how congestion propagates through the city's road graph — predicting bottlenecks 60 minutes ahead.
The Digital Twin runs 'what-if' scenarios in milliseconds — testing road closures, signal timing changes, and evacuation routes before any real-world action is taken.
Automatic signal optimization, Green Wave corridors for emergency vehicles, push notifications to citizens, and real-time rerouting recommendations to operators.
Traffic cameras, flood sensors along the Han River, weather stations, and citizen reports are continuously streamed through Apache Kafka at 100k+ events per second.
LSTM neural networks analyze temporal patterns while Graph Neural Networks model how congestion propagates through the city's road graph — predicting bottlenecks 60 minutes ahead.
The Digital Twin runs 'what-if' scenarios in milliseconds — testing road closures, signal timing changes, and evacuation routes before any real-world action is taken.
Automatic signal optimization, Green Wave corridors for emergency vehicles, push notifications to citizens, and real-time rerouting recommendations to operators.