Abstract
An emergency scenario is an unforeseen situation that threatens human life, and it is related to the emergent movements of evacuees, which is a critical challenge to model as their movements are unpredictable However, such practices provide less concern on how humans move, individual behaviours and individual differences, obstacles and other components. Therefore, modelling and simulation (M&S) are one of the methods that can be used to face this issue. Modelling is a method of solving problems that can be replaced by a simple object that describes the real system with its behaviour. A program with a running algorithm of a computer model is called a computer simulation. In order to develop a simulation model, a conceptual model consisting of a few components such as input, output, and techniques to be used is found to be important to be investigated for modelling the human evacuation egress (EE) movements. Therefore, two simulation techniques were found appropriate for modelling human EE, namely Social Force (SF) and Agent-based (AB). AB is autonomous with self-directed agents that pursue a series of predefined guidelines and rules to accomplish the objectives whilst the interaction among agents and the environment. Whereas SF is an approach to representing human behaviour with social-psychological and physical forces. The primary aim of this work is to review previous conceptual models and to propose a preliminary concept for modelling the human EE simulation. The findings reveal that the significant important components, such as the concept of the EE simulation model, have been identified based on the appropriateness and importance of each, such as the simulation techniques, EE movement procedure, and EE movement state. The conceptual model will be designed to assist in the development process of the EE simulation model for future work.
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References
Edrisi, A., Lahoorpoor, B., Lovreglio, R.: Simulating metro station evacuation using three agent-based exit choice models. Case Stud. Transp. policy 9(3), 1261–1272 (2021)
Hassanpour, S., Gonzalez, V., Liu, J., Zou, Y., Cabrera-Guerrero, G.: A hybrid hierarchical agent-based simulation approach for buildings indoor layout evaluation based on the post-earthquake evacuation. Adv. Eng. Inf. 51, 101531 (2022)
Kano, T., Iwamoto, M., Ueyama, D.: Decentralised control of multiple mobile agents for quick, smooth, and safe movement. Phys. A Stat. Mech. Appl. 572, 125898 (2021). https://doi.org/10.1016/j.physa.2021.125898
Li, M.X., Zhu, S.B., Wang, J.H., Zhou, Z.: Research on fire safety evacuation in a university library in Nanjing. Procedia Eng. 211, 372–378 (2018). https://doi.org/10.1016/j.proeng.2017.12.025
Giordano, G., Sjöberg, J.: Black- and white-box approaches for cascaded tanks benchmark system identification. Mech. Syst. Signal Process. 108, 387–397 (2018). https://doi.org/10.1016/j.ymssp.2018.01.008
Zhang, H., Liu, H., Qin, X., Liu, B.: Modified two-layer social force model for emergency earthquake evacuation. Phys. A Stat. Mech. Appl. 492, 1107–1119 (2018). https://doi.org/10.1016/j.physa.2017.11.041
Eliyan, L.F.: Modeling family behaviors in crowd simulation, no. January, 2017
Dutt, A., Ismail, M.A.: A Systematic Review on Educational Data Mining, vol. 5, pp. 15991–16005 (2017)
Noor Akma, A.B., Ainil Fahsha, A.N., Majid, M.A., Adam, K., Younis, Y.M., Fakhreldin, M.: Vehicular traffic flow simulation model using discrete event simulation: a case study. In: 3ICT Bahrain 2018, pp. 1–6. IEEE (2018)
Yuan, Z., Guo, R., Tang, S., He, B., Bian, L., Li, Y.: Simulation of the separating crowd behavior in a T-shaped channel based on the social force model. IEEE Access 7, 13668–13682 (2019). https://doi.org/10.1109/ACCESS.2019.2894345
Zankoul, E., Khoury, H., Awwad, R.: Evalutation of agent-based and discrete-event simulation for modeling construction earthmoving operations. In: Proceedings of the 32nd International Symposium on Automation and Robotics in Construction and Mining (ISARC 2015), no. June (2017). https://doi.org/10.22260/isarc2015/0014
Marshall, D.A., et al.: Selecting a dynamic simulation modeling method for health care delivery research part 2: report of the ISPOR dynamic simulation modeling emerging good practices task force. Value Heal. 18(2), 147–160 (2015). https://doi.org/10.1016/j.jval.2015.01.006
Robinson, S., Arbez, G., Birta, L.G., Tolk, A., Wagner, G.: Conceptual modeling: definition, purpose and benefits. In: Proceedings of the Winter Simulation Conference, vol. 2016-Febru, pp. 2812–2826 (2016). https://doi.org/10.1109/WSC.2015.7408386
Wu, S., Del Zendeh, E.: A conceptual framework to simulate building occupancy using crowd modelling techniques for energy analysis, no. October 2016 (2017)
Jumadi, S., Quincey, D.: A conceptual framework of volcanic evacuation simulation of Merapi using agent-based model and GIS. Procedia Soc. Behav. Sci. 227, 402–409 (2016). https://doi.org/10.1016/j.sbspro.2016.06.092. No. November 2015
Page, S.: Systems Simulation: Topics in Descriptive Simulation Modeling Techniques for Sensitivity Estimation Simulation-based Optimization Techniques, pp. 1–45 (2013)
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This research is financially supported by Faculty of Computing Information Technology, Tunku Abdul Rahman University College (TAR-UC). Appreciation to the reviewers and editors for considering this paper.
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Bakar, N.A.A., Lim, S.M., Majid, M.A. (2023). Human Evacuation Movement Simulation Model: Concepts and Techniques. In: Al-Sharafi, M.A., Al-Emran, M., Al-Kabi, M.N., Shaalan, K. (eds) Proceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems . ICETIS 2022. Lecture Notes in Networks and Systems, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-031-20429-6_13
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