Modeling group structures in pedestrian crowd simulation

Qiu, Fasheng; Hu, Xiaolin

doi:10.1016/j.simpat.2009.10.005

Cited by 170 publications

(109 citation statements)

References 22 publications

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“…The substantial body of research concerned with pedestrian flow modelling has largely been concerned with avoiding dangerous bunching and bottlenecks or efficient evacuation in emergency situations (Seyfried et al, 2006;Smith et al, 2009;Parisi et al, 2009;Qiu & Hu, 2010;Still, 2013;Kim et al, 2015;Liu et al, 2016).…”

Section: Crowd Movementmentioning

confidence: 99%

Factors influencing experience in crowds – The participant perspective

et al. 2017

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Humans encounter crowd situations on a daily basis, resulting in both negative and positive experiences. Understanding how to optimise the participant experience of crowds is important. In the study presented in this paper, 5 focus groups were conducted (35 participants, age range: 21-71 years) and 55 crowd situations observed (e.g. transport hubs, sport events, retail situations). Influences on participant experience in crowds identified by the focus groups and observations included: physical design of crowd space and facilities (layout, queuing strategies), crowd movement (monitoring capacity, pedestrian flow), communication and information (signage, wayfinding), comfort and welfare (provision of facilities, environmental comfort), and public order. It was found that important aspects affecting participant experience are often not considered systematically in the planning of events or crowd situations. The findings point to human factors aspects of crowds being overlooked, with the experiences of participants often poor.

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Section: Crowd Movementmentioning

confidence: 99%

Factors influencing experience in crowds – The participant perspective

et al. 2017

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“…In result, the combination of the two models will benefit from combining the needed components of each model with the other. However, it was noted that combining different behaviors could be difficult due to the non-standard methods of measuring the effects of agent parameters within the force-based formulas [33].…”

Section: Combined Modelsmentioning

confidence: 99%

Robot-Assisted Crowd Evacuation under Emergency Situations: A Survey

Sakour

2017

Robotics

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In the case of emergency situations, robotic systems can play a key role and save human lives in recovery and evacuation operations. To realize such a potential, we have to address many scientific and technical challenges encountered during robotic search and rescue missions. This paper reviews current state-of-the-art robotic technologies that have been deployed in the simulation of crowd evacuation, including both macroscopic and microscopic models used in simulating a crowd. Existing work on crowd simulation is analyzed and the robots used in crowd evacuation are introduced. Finally, the paper demonstrates how autonomous robots could be effectively deployed in disaster evacuation, as well as search and rescue missions.

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“…On the simulation side, the social interaction was taken into account in several simulations [3]- [5]. [3] introduces the intra-group (related to relationship of members inside the group) effect and inter-group (related to relationship among different groups) effect on the crowd behaviour. If group has the large number of member, the leader-follower structure runs more efficiently and smoothly than clustered structure [6].…”

Section: A Behaviours In Crisis Situationmentioning

confidence: 99%

“…We also advance further in the modeling of the influence of social interactions and emotion on decision-making of occupants in emergency evacuation as presented in Section 4. [26], [33] Fahy [34] Ketchell et al [35] Kisko et al [36] Korhonen et al [37] Kuligowski et al [28] Le et al [38] Ling et al [4], [5], [7] Murakami et al [39] Nguyen et al [1], [40], [41] Nguyen et al [42] Qiu and Hu [3] Santos and Aguirre [6] Ta et al [2] Thompson et al [43], [44] Tsai et al [16] Our model…”

Section: B Emotion Group Decision-makingmentioning

confidence: 99%

Modeling and Simulation of the Effects of Social Relation and Emotion on Decision Making in Emergency Evacuation

Ta¹,

Longin²,

Gaudou³

et al. 2017

ijacsa

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Abstract-Applying agent-based modeling to simulate the evacuation in case of emergency situations is recognized by many research works as an efficient tool for understanding the behavior and decision making of occupants in these situations. In this paper, we present our work aiming to modeling the influence of the emotion and social relationship of occupants on their behaviors and decision making in emergency as in case of fire disaster. Firstly, we proposed a formalization of occupants' behavior at group level in emergency situations based on the social theory. This formalization details possible behaviors and actions of people in emergency evacuations, taking into account occupant's social relationship. The formalization will facilitate the construction of simulation for emergency evacuation. Secondly, we modeled the influence of emotion and group behavior on the decision making of occupants in crisis situations. Thirdly, we developed an agent-based simulation that took into account the effect of group and emotion on the decision making of occupants in emergency situations. We conducted a set of experiments allowing to observe and analyze the behavior of people in emergency evacuation.

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Modeling group structures in pedestrian crowd simulation

Cited by 170 publications

References 22 publications

Factors influencing experience in crowds – The participant perspective

Factors influencing experience in crowds – The participant perspective

Robot-Assisted Crowd Evacuation under Emergency Situations: A Survey

Modeling and Simulation of the Effects of Social Relation and Emotion on Decision Making in Emergency Evacuation

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