Traffic Adaptive Moving-window Service Patrolling for Real-time Incident Management during High-impact Events
Lei, Haozhe, Yang, Ya-Ting, Li, Tao, Bian, Zilin, Zuo, Fan, Rangan, Sundeep, Ozbay, Kaan
–arXiv.org Artificial Intelligence
Lei et al.- Traffic Adaptive Moving-window Patrolling Algorithm 1 Traffic Adaptive Moving-window Service Patrolling for Real-time Incident Management during High-impact Events Haozhe Lei a, Y a-Ting Y ang a, Tao Li a, Zilin Bian b,, Fan Zuo b, Sundeep Rangan a, and Kaan Ozbay b a Department of Electrical and Computer Engineering, New Y ork University, United States of America b Department of Civil and Urban Engineering, New Y ork University, United States of AmericaKeywords: High-impact event management, service patrol, dynamic programming, adaptive graph This paper presents the Traffic Adaptive Moving-window Patrolling Algorithm (T AMP A), designed to improve real-time incident management during major events like sports tournaments and concerts. Such events significantly stress transportation networks, requiring efficient and adaptive patrol solutions. Using dynamic programming, the algorithm continuously adjusts patrol strategies within short planning windows, effectively balancing immediate response and efficient routing. Theoretical analyses ensure performance remains closely aligned with optimal solutions. Simulation results from an urban traffic network demonstrate T AMP A's superior performance, showing improvements of approximately 87.5% over stationary methods and 114.2% over random strategies. Future work includes enhancing adaptability and incorporating digital twin technology for improved predictive accuracy, particularly relevant for events like the 2026 FIFA World Cup at MetLife Stadium.1 Introduction 1.1 Motivation Organizing high-impact events, such as sports tournaments, festivals, and concerts, presents substantial social, economic, and transportation challenges. These events can place immense pressure on transportation infrastructure, security protocols, and public services, particularly in regions that are already congested and economically vital, such as the New Y ork-New Jersey (NYNJ) or Los Angeles (LA) metropolitan* Corresponding author. Both regions attract large, diverse crowds as tourists from across state lines and around the world, further complicating special event management logistics. A prime example of this challenge is the hosting of mega-events, such as the FIFA World Cup Ardemagni (2022) and the Olympics (Government, 2022; Harrison, 2021).
arXiv.org Artificial Intelligence
Apr-22-2025
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