AGENTIC-SYSTEMSMay 8, 20261 min read7 views

Intelligent CCTV for Urban Design: AI-Based Analysis of Soft Infrastructure at Intersections

A new study introduces an AI-driven framework that utilizes existing CCTV systems to analyze the impact of soft infrastructure on traffic safety, showing significant reductions in vehicle speeds.

Computer Science > Artificial Intelligence

Title:Intelligent CCTV for Urban Design: AI-Based Analysis of Soft Infrastructure at Intersections

View PDF HTML (experimental)Abstract:Artificial intelligence (AI) and computer vision are transforming transportation data collection. This study introduces an AI-enabled analytics framework leveraging existing CCTV infrastructure to evaluate the impact of soft interventions, such as temporary pedestrian refuges and curb extensions, on vehicle speed and safety. Using deep learning and perspective-based speed estimation, we evaluated driver behavior before and after interventions, with repeated post-installation monitoring in Week 1 and Week 2, in Minneapolis. Findings reveal that at unsignalized intersections, mean and 85th-percentile speeds fell by up to 18.75% and 16.56%, respectively, while pass-through traffic decreased by as much as 12.2%. Signalized intersections showed comparable reductions except one location, with mean and 85th-percentile speeds dropping by up to 20.0% and 17.19%. These results demonstrate the traffic-calming effectiveness of soft infrastructure and underscore the utility of AI-powered methods for rapid, low-cost, and evidence-based transport policy evaluation.

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