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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.02146 |
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| _version_ | 1866917741202505728 |
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| author | Fleischer, Jacques P. Pallack, Ryan Mishra, Ahan de Andrade, Gustavo Riente Poddar, Subhadipto Posadas, Emmanuel Schenck, Robert Banerjee, Tania Rangarajan, Anand Ranka, Sanjay |
| author_facet | Fleischer, Jacques P. Pallack, Ryan Mishra, Ahan de Andrade, Gustavo Riente Poddar, Subhadipto Posadas, Emmanuel Schenck, Robert Banerjee, Tania Rangarajan, Anand Ranka, Sanjay |
| contents | This paper utilizes video analytics to study pedestrian and vehicle traffic behavior, focusing on analyzing traffic patterns during football gamedays. The University of Florida (UF) hosts six to seven home football games on Saturdays during the college football season, attracting significant pedestrian activity. Through video analytics, this study provides valuable insights into the impact of these events on traffic volumes and safety at intersections. Comparing pedestrian and vehicle activities on gamedays versus non-gamedays reveals differing patterns. For example, pedestrian volume substantially increases during gamedays, which is positively correlated with the probability of the away team winning. This correlation is likely because fans of the home team enjoy watching difficult games. Win probabilities as an early predictor of pedestrian volumes at intersections can be a tool to help traffic professionals anticipate traffic management needs. Pedestrian-to-vehicle (P2V) conflicts notably increase on gamedays, particularly a few hours before games start. Addressing this, a "Barnes Dance" movement phase within the intersection is recommended. Law enforcement presence during high-activity gamedays can help ensure pedestrian compliance and enhance safety. In contrast, we identified that vehicle-to-vehicle (V2V) conflicts generally do not increase on gamedays and may even decrease due to heightened driver caution. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_02146 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Video-based Pedestrian and Vehicle Traffic Analysis During Football Games Fleischer, Jacques P. Pallack, Ryan Mishra, Ahan de Andrade, Gustavo Riente Poddar, Subhadipto Posadas, Emmanuel Schenck, Robert Banerjee, Tania Rangarajan, Anand Ranka, Sanjay Computer Vision and Pattern Recognition Computers and Society This paper utilizes video analytics to study pedestrian and vehicle traffic behavior, focusing on analyzing traffic patterns during football gamedays. The University of Florida (UF) hosts six to seven home football games on Saturdays during the college football season, attracting significant pedestrian activity. Through video analytics, this study provides valuable insights into the impact of these events on traffic volumes and safety at intersections. Comparing pedestrian and vehicle activities on gamedays versus non-gamedays reveals differing patterns. For example, pedestrian volume substantially increases during gamedays, which is positively correlated with the probability of the away team winning. This correlation is likely because fans of the home team enjoy watching difficult games. Win probabilities as an early predictor of pedestrian volumes at intersections can be a tool to help traffic professionals anticipate traffic management needs. Pedestrian-to-vehicle (P2V) conflicts notably increase on gamedays, particularly a few hours before games start. Addressing this, a "Barnes Dance" movement phase within the intersection is recommended. Law enforcement presence during high-activity gamedays can help ensure pedestrian compliance and enhance safety. In contrast, we identified that vehicle-to-vehicle (V2V) conflicts generally do not increase on gamedays and may even decrease due to heightened driver caution. |
| title | Video-based Pedestrian and Vehicle Traffic Analysis During Football Games |
| topic | Computer Vision and Pattern Recognition Computers and Society |
| url | https://arxiv.org/abs/2408.02146 |