Real-time Analytics
Raleigh needed to improve congestion management, mobility, and street safety as the city grew, but manual traffic counts and disconnected sensor repositories made it hard to visualize conditions, respond to incidents quickly, or plan infrastructure changes proactively.
Reported impact
Raleigh achieved 95 percent vehicle-detection accuracy, boosted a 2.5-person traffic-engineering team's analytical capacity by 4x, identified a path to save commuters an estimated $9.7 million annually, and built a scalable city platform that will expand with 1,000 more cameras and broader public-safety use cases.
Raleigh combined NVIDIA smart-city AI with its geospatial digital twin to create a real-time traffic and urban-operations platform. NVIDIA DeepStream, part of the NVIDIA Metropolis suite, performs video analytics for vehicle counts, trajectory tracking, and other traffic observations at key intersections. Those live signals are integrated with Esri ArcGIS on Microsoft Azure, which powers the city's digital twin and lets engineers visualize traffic, pedestrian, and bicycle flows inside a 3D map for scenario simulation and event planning. The city is also testing NVIDIA Blueprint for video search and summarization to automate incident understanding through vision-language agents that detect hazards and generate text descriptions under live video feeds. Together, these layers connect sensor data, geospatial context, and AI alerting so Raleigh can move from reactive operations to predictive, citywide traffic and safety management.
Traffic video and sensor feeds are analyzed by DeepStream and related AI agents, the resulting vehicle and incident signals are pushed into Raleigh's ArcGIS digital twin on Azure, and planners and operators use the live 3D map to visualize congestion, simulate scenarios, and trigger faster operational responses.
DeepStream achieving 95% accuracy in vehicle detection for turning movement counts.
Following the NVIDIA Blueprint for smart city AI, alongside Esri's ArcGIS geospatial platform that powers the city's digital twin on Microsoft Azure, Raleigh is transforming real-time urban management.
It also boosts the analytical capabilities of Raleigh's team of just 2.5 dedicated staff by 4x.
Potential to save commuters an estimated $9.7 million annually in time and fuel costs.
Raleigh adopted NVIDIA DeepStream, part of the NVIDIA Metropolis suite of vision AI tools.
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Traceability
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