Impact of passenger group dynamics on an airport evacuation process using an agent-based model

Cheng, Lin, Reddy, Vikas, Fookes, Clinton, & Yarlagadda, Prasad K.D.V. (2014) Impact of passenger group dynamics on an airport evacuation process using an agent-based model. In Akhgar, Babak & Arabnia, Hamid R. (Eds.) 2014 International Conference on Computational Science and Computational Intelligence, IEEE Computer Society, Las Vegas, Nevada, USA, pp. 161-167.

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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.

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ID Code: 69071
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: group dynamics, agent-based model, airport, evacuation, simulation
DOI: 10.1109/CSCI.2014.111
ISBN: 9781479930098
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Simulation and Modelling (080110)
Divisions: Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Funding:
Copyright Owner: Copyright 2014 IEEE
Copyright Statement: Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Deposited On: 31 Mar 2014 02:22
Last Modified: 06 Sep 2016 14:02

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