Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/146582
Title: Simulation of pedestrian evacuation in university canteen based on cellular automata
Authors: Li, Yongxing
Wang, David Zhi Wei
Meng, Meng
Wang, Ke
Keywords: Engineering::Civil engineering
Issue Date: 2019
Source: Li, Y., Wang, D. Z. W., Meng, M., & Wang, K. (2019). Simulation of pedestrian evacuation in university canteen based on cellular automata. IEEE Access, 7, 130120-130132. doi:10.1109/access.2019.2939230
Project: MOE2016-T2-1-044
Journal: IEEE Access
Abstract: In this study, we firstly build up an exit choice model to describe the pedestrians' exit choice behavior in a specific place, i.e., university canteens. The pedestrians are assumed to minimize their evacuation time in choosing exits by explicitly considering the estimated evacuation time and effects of pedestrians' destinations. In addition, the behavior of food tray return is also captured in the proposed route choice model for pedestrians. Fusing the exit choice model and the route choice model into a cellular automata (CA)-based pedestrian simulation model, we simulate the pedestrian evacuation process in university canteen and the results illustrate the effectiveness of the modeling framework in terms of describing the evacuation process in university canteens. Specifically, destination is identified as a key influence factor for pedestrian evacuation, and pedestrians tend to select the exit that is closer to their destinations. If it is required to return the food tray to designated spots before leaving the canteen, the evacuation efficiency is significantly reduced. The simulation result can also assist in determining the optimal number of tray-return spots if maximum evacuation efficient is to be achieved. In presence of the specific parameter settings and canteen layout in the case study example, it is recommended to deploy four tray-return spots in the university canteen.
URI: https://hdl.handle.net/10356/146582
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2019.2939230
Rights: © 2019 IEEE. This journal is 100% open access, which means that all content is freely available without charge to users or their institutions. All articles accepted after 12 June 2019 are published under a CC BY 4.0 license, and the author retains copyright. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, as long as proper attribution is given.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Journal Articles

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