Raleigh, NC experiments with AI-enabled alternatives to outsourced traffic analytics
Raleigh, NC AI-Enabled AI-Enabled Traffic Analytics
Raleigh previously hired outside consultants for point-in-time traffic studies at select intersections. City staffers first gathered video footage from a camera with Raspberry Pi for analysis by the TensorFlow platform. The success of this pilot led to the deployment of NVIDIA's DeepStream software at additional intersections for comprehensive video coverage. An in-house dashboard enables analyses of traffic trends as well as real-time identification of accidents and flooding.
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Raleigh Uses Machine Learning Software for Real Time Traffic Counting – Smart Cities Connect
Counting cars was once a job in Raleigh — now an AI does it - StateScoop
Raleigh, North Carolina, has turned to machine learning to improve mobility and urban planning in the face of a “deluge of data” that the fast-growing capital city has acquired over the last several years, according to city GIS and emerging technology manager James Alberque. Speaking at an virtual conference hosted this week by the mapping technology company Esri, Alberque said the city of 460,000 has gone from contracting people to sit at intersections and count cars to counting traffic with machine-learning software in real time, supplying policymakers with more accurate data to manage the city’s traffic. The new capability, driven by technology from Esri and the video graphics company Nvidia, spurred the city to deploy an additional 500 traffic cameras on signal poles this year, as well as outfit garbage trucks with cameras to record traffic as they move throughout the city. Raleigh grew by more than 50,000 people between […]
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