Modeling and simulating for congestion pedestrian evacuation with panic

Wang, Jinhuan; Zhang, Lei; Shi, Qin; Yang, Peng; Hu, Xiaoming

doi:10.1016/j.physa.2015.01.057

Cited by 119 publications

(44 citation statements)

References 21 publications

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“…Some studies focused on causing and handling of the potential risks [9][10][11][12][13][14][15]. A pedestrian evacuation simulation model based on the extended cellular automata was proposed with the consideration of heterogeneous behavioral tendencies in humans, and the model was applied to optimize buildings to reduce evacuation times [9].…”

Section: Literature Reviewmentioning

confidence: 99%

A Passenger Flow Risk Forecasting Algorithm for High-Speed Railway Transport Hub Based on Surveillance Sensor Networks

Xie

Qin

2016

Journal of Sensors

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Passenger flow risk forecasting is a vital task for safety management in high-speed railway transport hub. In this paper, we considered the passenger flow risk forecasting problem in high-speed railway transport hub. Based on the surveillance sensor networks, a passenger flow risk forecasting algorithm was developed based on spatial correlation. Computational results showed that the proposed forecasting approach was effective and significant for the high-speed railway transport hub.

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Section: Literature Reviewmentioning

confidence: 99%

A Passenger Flow Risk Forecasting Algorithm for High-Speed Railway Transport Hub Based on Surveillance Sensor Networks

Xie

Qin

2016

Journal of Sensors

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“…A series of elements have been considered in the literature related to individuals' behaviors, either in terms of cooperation [1,2] or competition [3], such as, but not limited to: age [4][5][6], social background [7], the degree of familiarity with the environment [8], the degree of selfishness [9], the presence or absence of guidance or authority figures [4,[10][11][12], the occurrence of herd behavior [13], pressure [14,15], emotions [13,16], or by considering different settings of the environment, such as the presence of a single/multiple exit doors [17][18][19], the width of the door [20], the distance to the exit door [21,22], the visibility of the exits [23], the occurrence of different objects [24,25], or limited visibility [26]. The presence of an obstacle in front of an exit has been a controversial and highly studied aspect in the literature.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Exits’ Symmetry Impact on the Evacuation Process of Classrooms and Lecture Halls: An Agent-Based Modeling Approach

et al. 2020

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As the evacuation problem has attracted and continues to attract a series of researchers due to its high importance both for saving human lives and for reducing the material losses in such situations, the present paper analyses whether the evacuation doors configuration in the case of classrooms and lecture halls matters in reducing the evacuation time. For this aim, eighteen possible doors configurations have been considered along with five possible placements of desks and chairs. The doors configurations have been divided into symmetrical and asymmetrical clusters based on the two doors positions within the room. An agent-based model has been created in NetLogo which allows a fast configuration of the classrooms and lecture halls in terms of size, number of desks and chairs, desks and chair configuration, exits' size, the presence of fallen objects, type of evacuees and their speed. The model has been used for performing and analyzing various scenarios. Based on these results, it has been observed that, in most cases, the symmetrical doors configurations provide good/optimal results, while only some of the asymmetrical doors configurations provide comparable/better results. The model is configurable and can be used in various scenarios.Symmetry 2020, 12, 627 2 of 25 demonstrated the beneficial effect of such an obstacle, a series of other studies have followed [28], some of them revealing a smaller positive effect [29,30], others stating the influence based on the dimension and position of the obstacle [31], while others proving the ineffectiveness of such a situation [32,33]. In a recent paper, Zuriguel et al. [34] studied the effect of an obstacle placed in front of the exit, and the authors concluded that this situation slightly favors the evacuation of the persons near the wall, prompting a debate on the role of the column in an evacuation process. Even more, the role of the exit location is questioned in Wu et al. [3], in which the authors conduct an experiment using mice and changing the position of the exit door by moving it from the long to the short wall of the test container.Depending on the type of the environment in which the evacuation might take place, a series of studies in the literature have addressed the evacuation of ships [35], metro stations [11,36], metro trains and high-speed trains [37,38], hospitals [39,40], stadiums [41], concert halls [42], supermarkets [43], rooms [34,44], auditorium [45], classrooms and lecture halls [18,46,47], ascending stair evacuation [48], large indoor building spaces [49], large buildings [50], large exterior spaces [51], etc.Among the public building evacuation situations, classrooms and the lecture halls hold an important place, as these spaces generally present a high population density and a restrained evacuation capacity [18,52]. The seat and desk placement among these types of learning rooms can take various forms, which, combined with the exit doors' positions, can have an impact on the overall evacuation time [53]. Furthermore, the complexity of the i...

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“…It also analyzes the behavior patterns at a group level. An example of works based on this approach can be found in [7], where the authors describe an individual behavior model for agents. Although there is no explicit way of interaction or communication, each agent is aware of itself and their peers.…”

Section: Introductionmentioning

confidence: 99%

A Social Bonds Integration Approach for Crowd Panic Simulation

Bouderbal¹,

Amamra

2019

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems

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Crowd panic has incurred massive injuries and deaths throughout history; thus understanding it is particularly important in order to save human lives. Recently, numerous simulation methods have been contributed in order to provide insight into the design of evacuation planning strategies. In this paper, we integrate a social structure to the crowd mobility model for the purpose of investigating the influence of social bonds on collective behavior during panic. A macroscopic crowd panic model based on social science theories was integrated as an internal module to the microscopic mobility model. The resulting framework is tunable and permits the implementation of several panic scenarios. It is also designed to run in different situations for a better comprehension of panic-related phenomena. The results demonstrate the smoothness of our crowd flow model and the realism of evacuation during panic.

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Modeling and simulating for congestion pedestrian evacuation with panic

Cited by 119 publications

References 21 publications

A Passenger Flow Risk Forecasting Algorithm for High-Speed Railway Transport Hub Based on Surveillance Sensor Networks

A Passenger Flow Risk Forecasting Algorithm for High-Speed Railway Transport Hub Based on Surveillance Sensor Networks

Investigating the Exits’ Symmetry Impact on the Evacuation Process of Classrooms and Lecture Halls: An Agent-Based Modeling Approach

A Social Bonds Integration Approach for Crowd Panic Simulation

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