Impact of Passenger Group Dynamics on an Airport Evacuation Process Using an Agent-Based Model
Paper
Paper/Presentation Title | Impact of Passenger Group Dynamics on an Airport Evacuation Process Using an Agent-Based Model |
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Presentation Type | Paper |
Authors | Cheng, Lin, Reddy, Vikas, Fookes, Clinton and Yarlagadda, Prasad K. D. V. |
Journal or Proceedings Title | Proceedings of 2014 International Conference on Computational Science and Computational Intelligence (CSCI) |
Journal Citation | pp. 161-167 |
Number of Pages | 7 |
Year | 2014 |
Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
Place of Publication | United States |
ISBN | 9781479930104 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/CSCI.2014.111 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/abstract/document/6822322 |
Web Address (URL) of Conference Proceedings | https://ieeexplore.ieee.org/xpl/conhome/6820887/proceeding |
Conference/Event | 2014 International Conference on Computational Science and Computational Intelligence |
Event Details | 2014 International Conference on Computational Science and Computational Intelligence Parent International Conference on Computational Science and Computational Intelligence (CSCI) Event Date 10 to end of 13 Mar 2014 Event Location United States |
Abstract | The safety of passengers is a major concern to airports. In the event of crises, having an effective and efficient evacuation process in place can significantly aid in enhancing passenger safety. Hence, it is necessary for airport operators to have an in-depth understanding of the evacuation process of their airport terminal. Although evacuation models have been used in studying pedestrian behaviour for decades, little research has been done in considering the evacuees’ group dynamics and the complexity of the environment. In this paper, an agent-based model is presented to simulate passenger evacuation process. Different exits were allocated to passengers based on their location and security level. The simulation results show that the evacuation time can be influenced by passenger group dynamics. This model also provides a convenient way to design airport evacuation strategy and examine its efficiency. The model was created using AnyLogic software and its parameters were initialised using recent research data published in the literature. |
Keywords | group dynamics; agent-based model; airport; evacuation; simulation |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Queensland University of Technology |
https://research.usq.edu.au/item/w431w/impact-of-passenger-group-dynamics-on-an-airport-evacuation-process-using-an-agent-based-model
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