Pedestrian dynamics is a multifaceted field that blends physical experiments with mathematical modeling to understand human movement in various contexts. This area has grown significantly, incorporating models from the social forces model to intricate cellular automata. Researchers have explored these models through rigorous numerical simulations and compared them to real-life scenarios like pedestrian counterflows, crowd evacuations, and the clogging near exits, drawing parallels to phenomena like silo clogging. This analogy helps illustrate the physical aspects of pedestrian jams and the strategic thinking involved as individuals navigate through confined spaces.This Research Topic aims to advance the state of knowledge in pedestrian dynamics by exploring a range of experimental and theoretical approaches. The ultimate goal is to elucidate the underlying mechanisms of pedestrian movement, enhance predictability through models such as the mean-field games equations, and explore new concepts like the Hughes model for understanding pedestrian visibility. By delving into both established and novel modeling techniques, this research seeks to refine our comprehension of how pedestrians make decisions in densely populated environments, aiming to reduce risks and optimize pathways.To gather further insights in pedestrian dynamics and strategic decision-making, we welcome articles addressing, but not limited to, the following themes:- Mathematical modeling of the pedestrian dynamics, including but not limited to effects such as visibility, leader-follower dynamics, swarming behavior, and age-dependent modeling.- Application of the mean field games approach to analyze strategic movement and cost minimization in pedestrian dynamics.- Physical demonstrations and analyses of specific phenomena in pedestrian dynamics, such as clogging at exits, the impact of obstacles, and phase transitions in crowd movements.This collection is designed to bridge theoretical developments and practical insights, enhancing our understanding of pedestrian dynamics across various scales and scenarios.
Pedestrian dynamics is a multifaceted field that blends physical experiments with mathematical modeling to understand human movement in various contexts. This area has grown significantly, incorporating models from the social forces model to intricate cellular automata. Researchers have explored these models through rigorous numerical simulations and compared them to real-life scenarios like pedestrian counterflows, crowd evacuations, and the clogging near exits, drawing parallels to phenomena like silo clogging. This analogy helps illustrate the physical aspects of pedestrian jams and the strategic thinking involved as individuals navigate through confined spaces.This Research Topic aims to advance the state of knowledge in pedestrian dynamics by exploring a range of experimental and theoretical approaches. The ultimate goal is to elucidate the underlying mechanisms of pedestrian movement, enhance predictability through models such as the mean-field games equations, and explore new concepts like the Hughes model for understanding pedestrian visibility. By delving into both established and novel modeling techniques, this research seeks to refine our comprehension of how pedestrians make decisions in densely populated environments, aiming to reduce risks and optimize pathways.To gather further insights in pedestrian dynamics and strategic decision-making, we welcome articles addressing, but not limited to, the following themes:- Mathematical modeling of the pedestrian dynamics, including but not limited to effects such as visibility, leader-follower dynamics, swarming behavior, and age-dependent modeling.- Application of the mean field games approach to analyze strategic movement and cost minimization in pedestrian dynamics.- Physical demonstrations and analyses of specific phenomena in pedestrian dynamics, such as clogging at exits, the impact of obstacles, and phase transitions in crowd movements.This collection is designed to bridge theoretical developments and practical insights, enhancing our understanding of pedestrian dynamics across various scales and scenarios.