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Titlebook: Crowd Dynamics, Volume 4; Analytics and Human Nicola Bellomo,Livio Gibelli Book 2023 The Editor(s) (if applicable) and The Author(s), unde

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发表于 2025-3-21 17:03:07 | 显示全部楼层 |阅读模式
书目名称Crowd Dynamics, Volume 4
副标题Analytics and Human
编辑Nicola Bellomo,Livio Gibelli
视频video
概述Offers a detailed overview of the various research directions in the field of crowd dynamics.Utilizes a multidisciplinary approach to provide a comprehensive overview of the area.Demonstrates how to a
丛书名称Modeling and Simulation in Science, Engineering and Technology
图书封面Titlebook: Crowd Dynamics, Volume 4; Analytics and Human  Nicola Bellomo,Livio Gibelli Book 2023 The Editor(s) (if applicable) and The Author(s), unde
描述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..
出版日期Book 2023
关键词Crowd Dynamics; Crowd Modeling; Pedestrian Flow Modeling; Social Distancing Modeling; Crowd Management
版次1
doihttps://doi.org/10.1007/978-3-031-46359-4
isbn_softcover978-3-031-46361-7
isbn_ebook978-3-031-46359-4Series ISSN 2164-3679 Series E-ISSN 2164-3725
issn_series 2164-3679
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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A Green Approach to Work And Idlenessl parameters, hybrid approaches incorporating neural networks, and purely data-based models fitted by deep learning. The conclusion outlines some development perspectives that we expect to grow in the coming years.
发表于 2025-3-22 02:04:30 | 显示全部楼层
A Green Approach to Work And Idlenesstick to pre-planned routes as their investment into them increases, and that the response of pedestrians to the movement of others is context-dependent. In combination, the studies we reviewed highlight the importance, diverse nature, and context-dependence of psychological factors in pedestrian decision-making.
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Empirical Investigations on the Role of Psychological Factors in Pedestrian Route Choice,tick to pre-planned routes as their investment into them increases, and that the response of pedestrians to the movement of others is context-dependent. In combination, the studies we reviewed highlight the importance, diverse nature, and context-dependence of psychological factors in pedestrian decision-making.
发表于 2025-3-22 12:03:56 | 显示全部楼层
Time-Continuous Microscopic Pedestrian Models: An Overview,l parameters, hybrid approaches incorporating neural networks, and purely data-based models fitted by deep learning. The conclusion outlines some development perspectives that we expect to grow in the coming years.
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Behavioral Human Crowds and Society,r research perspectives. The first part of this chapter contributes to the selection of some key perspectives that take into account not only the technical interest of modeling and simulation, but also the impact that this research activity can have on the well-being of society. The second part prov
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发表于 2025-3-23 02:53:12 | 显示全部楼层
Time-Continuous Microscopic Pedestrian Models: An Overview,move forward to modern, active pedestrian models with sophisticated collision-avoidance and anticipation techniques through optimisation problems. The overview focuses on the mathematical aspects of the models and their different components. We include methods used for data-based calibration of mode
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