An Insight into Traffic Analysis with Computer Vision
Leveraging Smart Infrastructure for Urban Traffic Flow Analysis
DOI:
https://doi.org/10.62161/sauc.v11.6019Keywords:
Urbanisation, Cities, Public space management, Traffic flow, Urban lighting, Edge computing, Vision sensorsAbstract
Urbanisation is accelerating, with the UN predicting 68% of the world population will live in cities by 2050, creating new challenges for public space management. Efficient traffic flow is essential in such environments. This project leveraged urban lighting infrastructure to deploy AI-powered edge computing devices with vision sensors on public light poles to monitor traffic at intersections. Three pilot sites in Cascais, Loures, and Oeiras featured nine intersections under real-world conditions. These smart devices not only provided valuable, continuous data for traffic analysis but also demonstrated the potential for resilient, cyber-safe, and connected infrastructures supporting the transition to smarter cities.
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