Modeling and simulation of pedestrian flow in university canteen

Tang, Tie-Qiao; Zhang, Botao; Xie, Chuan-Zhi

doi:10.1016/j.simpat.2019.04.011

Cited by 24 publications

(7 citation statements)

References 22 publications

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“…The lowest impact on student satisfaction has the quality of service. Tang, Zhang and Xie (2019) try to track and model the pedestrian fl ow in university canteen. They can provide the cafeteria management suggestions how to optimize the fl ow of students in cafeteria to enhance the cafeteria service effi ciency and safety.…”

Section: Methodsmentioning

confidence: 99%

Creating a Food Menu Application for Mendel University in Brno

Tykal

Brnovik

Landa

2020

Acta Univ. Agric. Silvic. Mendelianae Brun.

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The presented paper describes the creation of a mobile application module for showing a current menu at Mendel University cafeterias. Nowadays, the students and the university staff have the menu accessible through a static webpage. The presented solution serves as a dynamic presentation of the current menu for all Mendel University in Brno cafeterias. Most cafeteria menu applications use the REST architectures for the server backend. The contribution of the paper is in usage of the Google Firebase Realtime database as a server backend. Unlike in traditional REST architecture, the data e.g. the food rating is instantaneously changed and the users have an up to date information. Part of the presented solution is also a mobile application module for both Android and iOS where university students and staff can see the current cafeterias menus.

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Section: Methodsmentioning

confidence: 99%

Creating a Food Menu Application for Mendel University in Brno

Tykal

Brnovik

Landa

2020

Acta Univ. Agric. Silvic. Mendelianae Brun.

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“…As for FF fo , researchers used the ant colony pheromone to study the group behavior between pedestrians. 20,32 This pheromone is spatially contagious, that is, with the increase of the distance between the position and the information source, the pheromone centration drops but the dropping rate drops. 33 This property is consistent with the classic pheromone, so for simplicity we can define the following equation:…”

Section: Pedestrian Movement Modelmentioning

confidence: 99%

Experiment, model, and simulation of the pedestrian flow around a training school classroom during the after-class period

et al. 2021

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In China, training schools are ubiquitous, where heterogeneous pedestrian flow (which consists of adults and children) widely occurs during the after-class period. In this paper, we develop a fine grid cellular CA model to describe the pedestrian behaviors (e.g., pick-up behavior, searching behavior, matching behavior, waiting behavior, leading behavior, and following behavior) at a training school during the after-class period and explore the effects of the special behaviors on each pedestrian’s movement in and around a classroom. To describe the heterogeneous pedestrian flow accurately, (i) some questionnaire surveys are designed to extract some features of adult’s and child’s movement, and (ii) some video experiments are conducted to estimate/calibrate some parameters of interest in the proposed model. Finally, some strategies are designed to enhance the evacuation efficiency and the operational efficiency of training school. The numerical results indicate that the proposed model can reasonably match with reality, and the proposed strategies can enhance the evacuation efficiency and the operational efficiency of training school. The results can help the administrators to effectively manage the pedestrian evacuation at training school during the after-class period.

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“…Researchers pay lots of attention to road traffic congestion given its severe social, economic, and environmental effects. However, congestion in a relatively small space, for example, campus canteen, also has negative impacts, such as stampede and other security risks (Tang et al, 2019a). In China, the rush-hour crowding often occurs in school canteens, although little attention has been paid to.…”

Section: Introductionmentioning

confidence: 99%