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This paper introduces an artificial intelligence system that enhances urban mobility by detecting available smart parking spaces and routing traffic. The approach utilizes YOLOv5 computer vision techniques to detect vacant parking spaces instantly and connects this data with OpenRouteService (ORS) to manage city traffic dynamically. The system utilizes YOLOv5’s sophisticated object detection features to successfully identify empty parking spots from video inputs. The system delivers parking availability updates to ORS which then calculates the best driving paths while decreasing congestion and travel time. The integration of artificial intelligence and geospatial routing helps create intelligent urban environments to tackle the issues of increasing city population density.

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Toward a Smart City: AI-Based Parking Availability Detection and Urban Traffic Routing

  • 会议论文

  • 发表日期：

    2026年

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  • Jawad Oubaha,
  • Yassine Aitamrar,
  • Ali Choukri,
  • Mohammed Aissaoui

摘要

This paper introduces an artificial intelligence system that enhances urban mobility by detecting available smart parking spaces and routing traffic. The approach utilizes YOLOv5 computer vision techniques to detect vacant parking spaces instantly and connects this data with OpenRouteService (ORS) to manage city traffic dynamically. The system utilizes YOLOv5’s sophisticated object detection features to successfully identify empty parking spots from video inputs. The system delivers parking availability updates to ORS which then calculates the best driving paths while decreasing congestion and travel time. The integration of artificial intelligence and geospatial routing helps create intelligent urban environments to tackle the issues of increasing city population density.