Simulation of pedestrian evacuation in university canteen based on cellular automata

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 e...

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Main Authors: Li, Yongxing, Wang, David Zhi Wei, Meng, Meng, Wang, Ke
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/146582
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1465822021-03-02T03:02:19Z Simulation of pedestrian evacuation in university canteen based on cellular automata Li, Yongxing Wang, David Zhi Wei Meng, Meng Wang, Ke School of Civil and Environmental Engineering Engineering::Civil engineering University Canteen Exit Choice 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. Ministry of Education (MOE) Published version This work was supported by the Singapore Ministry of Education (MOE) Academic Research Fund (AcRF) Tier 2 under Grant MOE 2016-T2-1-044. 2021-03-02T03:02:19Z 2021-03-02T03:02:19Z 2019 Journal Article 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 2169-3536 0000-0002-9623-6928 https://hdl.handle.net/10356/146582 10.1109/ACCESS.2019.2939230 2-s2.0-85077766181 7 130120 130132 en MOE2016-T2-1-044 IEEE Access © 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. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
University Canteen
Exit Choice
spellingShingle Engineering::Civil engineering
University Canteen
Exit Choice
Li, Yongxing
Wang, David Zhi Wei
Meng, Meng
Wang, Ke
Simulation of pedestrian evacuation in university canteen based on cellular automata
description 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.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Li, Yongxing
Wang, David Zhi Wei
Meng, Meng
Wang, Ke
format Article
author Li, Yongxing
Wang, David Zhi Wei
Meng, Meng
Wang, Ke
author_sort Li, Yongxing
title Simulation of pedestrian evacuation in university canteen based on cellular automata
title_short Simulation of pedestrian evacuation in university canteen based on cellular automata
title_full Simulation of pedestrian evacuation in university canteen based on cellular automata
title_fullStr Simulation of pedestrian evacuation in university canteen based on cellular automata
title_full_unstemmed Simulation of pedestrian evacuation in university canteen based on cellular automata
title_sort simulation of pedestrian evacuation in university canteen based on cellular automata
publishDate 2021
url https://hdl.handle.net/10356/146582
_version_ 1695706215485538304