Effect of exit configuration on evacuation of a room without visibility

Nagai, Roberta; Nagatani, Takashi; Isobe, Motoshige; Adachi, Tomohiko

doi:10.1016/s0378-4371(04)00851-9

Cited by 17 publications

(9 citation statements)

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“…), the exact number of cells in the neighborhood of a given cell can vary [26]. Lattice gas models are CA models that make use of a discretized version of the Boltzmann transport equation to model motion [27][28][29]. Advances in this modeling area include the Extended Floor Field Model [30] in which agents interact through virtual traces that act like the pheromones in chemotaxis, and the SWARM information model [31] which uses multiple floor fields to model transmission of knowledge between agents.…”

Section: Lattice Gas Modelmentioning

confidence: 99%

“…In this study we use the model by Tajima and Nagatani [32]. In contrast to later CA models with additional features like bi-directional movement [33] and vision impairment during evacuation [29], this original model is simple, and adequate for our model comparison purpose.…”

Section: Lattice Gas Modelmentioning

confidence: 99%

“…Depending on the context and motivation of the model there are several metrics that are generally used. For CA models that are generally used for studying macroscopic patterns, it is common to measure macro variables like the mean evacuation time [29] and flow rate [32]. For models like social force where the motivation is to study interactions at a more granular level, it is common to make empirical and qualitative observations like the lane effect [8].…”

Section: Measurementsmentioning

confidence: 99%

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Quantitative comparison between crowd models for evacuation planning and evaluation

et al. 2014

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Abstract. Crowd simulation is rapidly becoming a standard tool for evacuation planning and evaluation. However, the many crowd models in the literature are structurally different, and few have been rigorously calibrated against real-world egress data, especially in emergency situations. In this paper we describe a procedure to quantitatively compare different crowd models or between models and real-world data. We simulated three models: (1) the lattice gas model, (2) the social force model, and (3) the RVO2 model, and obtained the distributions of six observables: (1) evacuation time, (2) zoned evacuation time, (3) passage density, (4) total distance traveled, (5) inconvenience, and (6) flow rate. We then used the DISTATIS procedure to compute the compromise matrix of statistical distances between the three models. Projecting the three models onto the first two principal components of the compromise matrix, we find the lattice gas and RVO2 models are similar in terms of the evacuation time, passage density, and flow rates, whereas the social force and RVO2 models are similar in terms of the total distance traveled. Most importantly, we find that the zoned evacuation times of the three models to be very different from each other. Thus we propose to use this variable, if it can be measured, as the key test between different models, and also between models and the real world. Finally, we compared the model flow rates against the flow rate of an emergency evacuation during the May 2008 Sichuan earthquake, and found the social force model agrees best with this real data. PACS

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Section: Lattice Gas Modelmentioning

confidence: 99%

Section: Lattice Gas Modelmentioning

confidence: 99%

Section: Measurementsmentioning

confidence: 99%

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Quantitative comparison between crowd models for evacuation planning and evaluation

et al. 2014

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“…Further, the mean value of the leaving time and students' leaving dynamic patterns were measured and made a comparison with the output of the experimentations. In this study, the exact emphasis was on the leaving time distribution [69].…”

Section: Lattice Gas Modelsmentioning

confidence: 99%

“…Normal free flow to the choking flow, bottleneck width caused to saturated flow rate and transition density scale [70] LGM Emergency Counterflow of people crawling on all fours, speed, jamming transition, and pattern formation [71] LGM Normal/Em ergency Sidle effect, counterflow jamming transition and pattern formation [67] LGM Normal Shifting of the audience between two halls, and Jamming transition [68] LGM emergency Jamming (queuing), and effect on increasing escape time [69] LGM Communication of escape times and the exit configuration, explain blind people feature properties [72] LGM and SFM ture field caused to local jamming and clogging [75] LGM and CAM Selfless and selfish for the pedestrians during evacuation Cellular Automata Model Application [52] CAM and SFM…”

Section: Microscopic Homogenousmentioning

confidence: 99%

A Comprehensive Study on Pedestrians’ Evacuation

Muhammed¹,

Saeed²,

Rashid³

2019

Int. J. Recent Contrib. Eng. Sci. IT

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Human beings face threats because of unexpected happenings, which can be avoided through an adequate crisis evacuation plan, which is vital to stop wound and demise as its negative results. Consequently, different typical evacuation pedestrians have been created. Moreover, through applied research, these models for various applications, reproductions, and conditions have been examined to present an operational model. Furthermore, new models have been developed to cooperate with system evacuation in residential places in case of unexpected events. This research has taken into account an inclusive and a 'systematic survey of pedestrian evacuation' to demonstrate models methods by focusing on the applications' features, techniques, implications, and after that gather them under various types, for example, classical models, hybridized models, and generic model. The current analysis assists scholars in this field of study to write their forthcoming papers about it, which can suggest a novel structure to recent typical intelligent reproduction with novel features.

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