18 papers · ranked by Valyu relevance
Jamie Webster, Martyn Amos
The accuracy and believability of crowd simulations underpins computational studies of human collective behaviour, with implications for urban design, policing, security and many other areas. Accuracy concerns the closeness of the fit between a simulation and observed data, and believability concerns the human…
Rui Silva, Paulo Knob, Rubens Montanha, Soraia Raupp Musse
—Crowd simulation is an area of research largely used in the game industry. From the movement of a single NPC to the movement of an entire army, crowd simulation methods can be used to move agents through the environment while avoiding collisions with obstacles and between each other. Thus, it is important that game…
Thiago Gomes Vidal de Mello, Matheus Schreiner Homrich da Silva, Gabriel Fonseca Silva, Soraia Raupp Musse
Since the introduction of the first crowd simulation model in computer graphics, proposed by Musse and Thalmann , significant advancements have been made to the field, enabling the simulation of a variety of scenarios and behaviors. This includes the simulation of diverse crowd behavior , crowd egress during…
Libo Sun, Norman I. Badler
Statistical analysis of accidents in recent years shows that crowd crushes have become significant non-combat, non-environmental public disasters. Unlike common accidents such as fires, crowd crushes may occur without obvious external causes, and may arise quickly and unexpectedly in otherwise normal surroundings. We…
Yihao Li, Junyu Liu, Xiaoyu Guan, Hanming Hou + 1 more
Simulation Authors: ['Yihao Li' 'Junyu Liu' 'Xiaoyu Guan' 'Hanming Hou' 'Tianyu Huang'] Large crowds exhibit intricate behaviors and significant emergent properties, yet existing crowd simulation systems often lack behavioral diversity, resulting in homogeneous simulation outcomes. To address this limitation, we…
Runkang Guo, Bin Chen, Qi Zhang, Yong Zhao + 2 more
Machine Learning with Navigation Potential Fields Authors: ['Runkang Guo' 'Bin Chen' 'Qi Zhang' 'Yong Zhao' 'Xiao Wang' 'Zhengqiu Zhu'] Abstract—Crowd simulation plays a crucial role in the prevention and management of urban public safety events. However, the complexity and heterogeneity of human behaviors pose…
Francisco Enrique Vicente Castro, Jaderick P. Pabico
The arching phenomenon is an emergent pattern formed by a c-sized crowd of intelligent, goal-oriented, autonomous, heterogeneous individuals moving towards a w-wide exit along a long W-wide corridor, where W > w. We collected empirical data from microsimulations to identify the combination effects of c and w to the…
Hantao Zhao, Tyler Thrash, Mubbasir Kapadia, Katja Wolff + 3 more
'Christoph Hölscher' 'Dirk Helbing' 'Victor R. Schinazi'] Dense crowds in public spaces have often caused serious security issues at large events. In this paper, we study the 2010 Love Parade disaster, for which a large amount of data (e.g. research papers, professional reports and video footage) exist. We reproduce…
Haoyang Liang, Seunghyeon Lee, Jian Sun, S. C. WONG + 1 more
As the world steadily recovers from the COVID-19 pandemic, managing large gatherings becomes a critical concern for ensuring crowd safety. The crowd-crush disaster in Seoul in 2022 highlights the need for effective predictive crowd management techniques. In this study, an empirical analysis of this incident is…
Fumiyasu Makinoshima, Yusuke Oishi
Unlike conventional crowd simulations for what-if analysis, agent-based crowd simulations for real-time applications are an emerging research topic and an important tool for better crowd managements in smart cities. Recent studies have attempted to incorporate the real-time crowd observations into crowd simulations for…
Sebastien Motsch, Mehdi Moussaïd, Elisabeth G. Guillot, Mathieu Moreau + 4 more
Understanding and predicting the collective behaviour of crowds is essential to improve the efficiency of pedestrian flows in urban areas and minimize the risks of accidents at mass events. We advocate for the development of a & “crowd forecasting system„whereby real-time observations of crowds are coupled to fast and…
Sultan Daud Khan, Muhammad Saqib, Michael Blumenstein
—As the population of world is increasing, and even more concentrated in urban areas, ensuring public safety is becoming a taunting job for security personnel and crowd managers. Mass events like sports, festivals, concerts, political gatherings attract thousand of people in a constraint environment, therefore adequate…
Jamie Webster, Martyn Amos
The realism and believability of crowd simulations underpins computational studies of human collective behaviour, with implications for urban design, policing, security and many other areas. Realism concerns the closeness of the fit between a simulation and observed data, and believability concerns the human perception…
Stefan Bosse, Uwe Engel
Modelling and simulation of social interaction and networks are of high interest in multiple disciplines and fields of application ranging from fundamental social sciences to smart city management. Future smart city infrastructures and management are characterised by adaptive and self-organising control using…
Igor Lugo, Martha G. Alatriste-Contreras
The personal space in dense crowd situations is commonly underestimated. However, the self-awareness of it can prevent and handle risk situations. The aim of this study was to explore theoretically the use of the personal space as a key concept for designing simple computational models related to collective behaviors…
Gregory C. Dachner, Trenton D. Wirth, Emily Richmond, William H. Warren
Patterns of collective motion or ‘flocking’ in birds, fish schools, and human crowds are believed to emerge from local interactions between individuals. Most models of collective motion attribute these interactions to hypothetical rules or forces, often inspired by physical systems, and described from an overhead view.…
Kei Yoshida, Mario di Bernardo, William H. Warren
Collective motion in human crowds has been understood as a self-organizing phenomenon that is generated from local visual interactions between neighboring pedestrians. To analyze these interactions, we introduce an approach that estimates local influences in observational data on moving human crowds and represents them…
Hisashi Murakami, Claudio Feliciani, Yuta Nishiyama, Katsuhiro Nishinari
Human crowds provide paradigmatic examples of collective behavior emerging through self-organization. Although the underlying interaction has been considered to obey the distance-dependent law, resembling physical particle systems, recent findings emphasized that pedestrian motions are fundamentally influenced by the…