English Version
館藏查詢
他校館藏
  
   系統號碼947335
   書刊名Crowd dynamics. Analytics and human factors in crowd modeling Volume 4, [electronic resource] /
   主要著者edited by Nicola Bellomo, Livio Gibelli.
   其他著者Bellomo, N.;Gibelli, Livio.
   出版項Cham : Imprint: Birkhäuser, 2023.
   索書號HM1033
   ISBN9783031463594
   標題Human engineering.
Social psychology.
COVID-19 Pandemic, 2020-
Mathematical Modeling and Industrial Mathematics.
Computational Science and Engineering.
Operations Research, Management Science.
   電子資源https://doi.org/10.1007/978-3-031-46359-4
   叢書名Modeling and simulation in science, engineering and technology,2164-3725;Modeling and simulation in science, engineering and technology.2164-3725
   
    
   分享▼ 
網站搜尋           

無紙本館藏記錄

內容簡介This contributed volume explores innovative research in the modeling, simulation, and control of crowd dynamics. Chapter authors approach the topic from the perspectives of mathematics, physics, engineering, and psychology, providing a comprehensive overview of the work carried out in this challenging interdisciplinary research field. The volume begins with an overview of analytical problems related to crowd modeling. Attention is then given to the importance of considering the social and psychological factors that influence crowd behavior - such as emotions, communication, and decision-making processes - in order to create reliable models. Finally, specific features of crowd behavior are explored, including single-file traffic, passenger movement, modeling multiple groups in crowds, and the interplay between crowd dynamics and the spread of disease. Crowd Dynamics, Volume 4 is ideal for mathematicians, engineers, physicists, and other researchers working in the rapidly growing field of modeling and simulation of human crowds.

讀者書評

尚無書評,


  
Copyright © 2007 元智大學(Yuan Ze University) ‧ 桃園縣中壢市 320 遠東路135號 ‧ (03)4638800