Session Time & Room : 3E (Aug.23, 17:40-19:20) @A208
Type : Proposal of Minisymposium
Abstract : Crowd management is an interdisciplinary field that has received much attention in recent year, and various scientific methods for reducing the risk of crowd avalanches and infections are being studied. In addition, encouraging decentralized behavior not only enhances safety, but also improves services from marketing viewpoints. Latest research results on sensing, simulation and guidance of crowds, which are all very important in crowd management, will be discussed by applied mathematicians from different backgrounds.
00027 (1/1) : 3E @A208 [Chair: Katsuhiro Nishinari]
[05480] Crowd Management Platform as a Service
Format : Talk at Waseda University
Author(s) :
Katsuhiro Nishinari (The University of Tokyo)
Abstract : Crowd management is important for safety and efficient movement of individuals. The process involves sensing crowd conditions in real time, predicting the near future from that data, and then guiding the crowd through a risk assessment to prevent accidents before they happen. The platform supporting this series of functions is named Crowd Management Platform as a Service (CMPaaS).In the presentation, actual case studies using CMPaaS will be presented.
[05405] 3D Visualization of Crowd Motion
Format : Online Talk on Zoom
Author(s) :
Kensuke Yasufuku (Osaka University)
Abstract : This presentation proposes methods for effective 3D visualization of crowd motion in large sites under both normal and emergency conditions. We utilize agent-based crowd simulations to model and predict behavioral patterns under various scenarios. These simulations serve as critical tools for predicting congestion within these sites and for evaluating and optimizing appropriate evacuation plans. Furthermore, we will discuss visualization techniques for sharing information among stakeholders.
[05377] Numerical description of pedestrian crowds: are we really particles?
Format : Talk at Waseda University
Author(s) :
Claudio Feliciani (The University of Tokyo)
Abstract : Quantification of properties related to pedestrian crowds is necessary for analyzing pedestrian flows and automating real-time control. Often, models inspired by physics and fluid dynamics are used to describe crowds by simplifying people as particles. While these models often yield good results, they are typically only valid for specific conditions. This highlights the need to better understand the cognitive and psychological aspects of human motion in crowds to improve the quantification of pedestrian collective dynamics.
[05404] Crowd management and visitors’ attitudes in natural recreational areas
Format : Talk at Waseda University
Author(s) :
Tetsuya Aikoh (Hokkaido University)
Hyerin Kim (Hokkaido University)
Yasushi Shoji (Hokkaido University)
Abstract : While outdoor recreation areas are expected to attract visitors, there are concerns about overtourism. Outdoor spaces without obvious entrances and exits present many sensing challenges. In addition, controlling crowding in public recreation areas requires consensus with visitors and local stakeholders. We will report on recent research findings and their contribution to management in World Heritage areas and urban greening events.
