Leveraging Social Media Data For More Comprehensive Traffic Load Prediction

This research provides a tool to improve traffic forecasts around event venues by analysing social media data to predict event attendance. By extracting users' intentions from online posts, it provides estimates of event attendees. These predictions help city planners and event organizers manage traffic flow, optimize resource allocation, and enhance public safety by making informed decisions based on more reliable non-recurring traffic forecasts. The study contributes to urban planning and traffic management, offering benefits for smoother events and better transportation systems. It enhances the understanding of leveraging social media to address real-world challenges in event management and urban mobility.