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Paper ThAT14.3

Fleischer, Jacques (University of Florida), Pallack, Ryan (University of Florida), Mishra, Ahan (Cornell University), Riente de Andrade, Gustavo (City of Gainesville), Poddar, Subhadipto (University of Arkansas), Posadas, Emmanuel (City Of Gainesville), Schenck, Robert (City of Gainesville), Banerjee, Tania (University of Houston), Rangarajan, Anand (University of Florida), Ranka, Sanjay (University of Florida)

Video-Based Pedestrian and Vehicle Traffic Analysis During Football Games

Scheduled for presentation during the Poster Session "Modeling, Simulation, and Control of Pedestrians and Cyclists II" (ThAT14), Thursday, September 26, 2024, 10:30−12:30, Foyer

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on December 26, 2024

Keywords Data Mining and Data Analysis, Off-line and Online Data Processing Techniques, Human Factors in Intelligent Transportation Systems

Abstract

This study uses video analytics to examine pedestrian and vehicle behavior during University of Florida football gamedays. It shows how traffic patterns change, with increased pedestrian activity and higher pedestrian volumes, correlated with the home team's win probability. This correlation suggests that fans prefer to watch and attend challenging games. Predicting pedestrian volumes using win probabilities could aid traffic management. Pedestrian-to-vehicle (P2V) conflicts rise on gamedays, especially before games, suggesting a need for a "Barnes Dance" phase at intersections. Law enforcement presence can enhance pedestrian safety. Remarkably, vehicle-to-vehicle (V2V) conflicts do not significantly increase on gamedays and may decrease due to increased driver caution.

 

 

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