A literature review of dense crowd simulation

IF 3.5 2区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Simulation Modelling Practice and Theory Pub Date : 2024-05-11 DOI:10.1016/j.simpat.2024.102955
Huu-Tu Dang, Benoit Gaudou, Nicolas Verstaevel
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Abstract

Pedestrian modeling and simulation has become an interesting topic that has gained scientists’ interest over the past few decades. While this field has yielded significant achievements in various applications, questions have been raised regarding the applicability of simulations in high-density scenarios. To this purpose, this paper comprehensively reviews pedestrian simulation models specifically focused on high-density situations. The review examines a total of 116 articles and categorizes their approaches for modeling pedestrian behaviors to different decisional levels. The strengths and limitations of these modeling approaches are compared and evaluated using different criteria for dense crowd simulations, such as their ability to simulate common emergent behaviors in crowded situations, performance, validation, and capacity to integrate into high-level modeling. Finally, the review provides potential directions for future research and development of dense crowd simulations.

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密集人群模拟文献综述
行人建模与仿真已成为一个有趣的课题,在过去几十年中引起了科学家们的兴趣。虽然这一领域在各种应用中取得了重大成就,但人们对模拟在高密度场景中的适用性提出了质疑。为此,本文全面回顾了专门针对高密度情况的行人模拟模型。该综述共研究了 116 篇文章,并将其模拟行人行为的方法分为不同的决策级别。采用不同的密集人群模拟标准对这些建模方法的优势和局限性进行了比较和评估,例如模拟拥挤情况下常见突发行为的能力、性能、验证以及集成到高层建模中的能力。最后,综述为密集人群模拟的未来研究和发展提供了潜在方向。
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来源期刊
Simulation Modelling Practice and Theory
Simulation Modelling Practice and Theory 工程技术-计算机:跨学科应用
CiteScore
9.80
自引率
4.80%
发文量
142
审稿时长
21 days
期刊介绍: The journal Simulation Modelling Practice and Theory provides a forum for original, high-quality papers dealing with any aspect of systems simulation and modelling. The journal aims at being a reference and a powerful tool to all those professionally active and/or interested in the methods and applications of simulation. Submitted papers will be peer reviewed and must significantly contribute to modelling and simulation in general or use modelling and simulation in application areas. Paper submission is solicited on: • theoretical aspects of modelling and simulation including formal modelling, model-checking, random number generators, sensitivity analysis, variance reduction techniques, experimental design, meta-modelling, methods and algorithms for validation and verification, selection and comparison procedures etc.; • methodology and application of modelling and simulation in any area, including computer systems, networks, real-time and embedded systems, mobile and intelligent agents, manufacturing and transportation systems, management, engineering, biomedical engineering, economics, ecology and environment, education, transaction handling, etc.; • simulation languages and environments including those, specific to distributed computing, grid computing, high performance computers or computer networks, etc.; • distributed and real-time simulation, simulation interoperability; • tools for high performance computing simulation, including dedicated architectures and parallel computing.
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