Strategic Mobility Insights: Optimizing Parking and Operational Efficiency through Density Analysis

This research introduces a comprehensive approach to optimize parking and operational efficiency by employing density analysis based on entrance and exit camera footage in public spaces, such as malls or educational institutions. The study focuses on vehicle tracking to estimate crowd density within these locations, utilizing image processing techniques to count the number of vehicles entering and exiting the public space. The computed crowd density serves as a pivotal metric for proactive alert systems that trigger interventions when congestion levels are critical, redirecting incoming traffic to alternative parking areas. In addition to real-time density management, the research explores trends in crowd density variations across different days, offering insights for strategic resource planning and operational adjustments. The implemented alert system demonstrates its effectiveness in managing high-density situations, providing a dynamic solution for optimizing parking resources and overall crowd-related resources. This research contributes to the evolution of intelligent urban management systems by presenting a robust methodology that integrates both parking management and crowd density trends, setting the stage for future innovations in resource optimization.