Developing Fire Evacuation Simulation Through Emotion-based BDI Methodology

Celine Haren Paschal - Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300, Malaysia
Cheah Wai Shiang - Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300, Malaysia
Sim Keng Wai - Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300, Malaysia
Muhammad Asyraf bin Khairuddin - Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300, Malaysia


Citation Format:



DOI: http://dx.doi.org/10.30630/joiv.6.1.854

Abstract


Fire evacuation simulation is a tool to study human behavior in dealing with fire. It has been used for safety policy management studies, building safety analysis, and human safety understanding. To date, modeling the fire evacuation behavior is paying much attention in which works have been done to design and develop building model, fire model, human decision model, and human emotion decision model. As fire evacuation simulation is important, the BDI methodology is introduced by authors to ease modeling and simulation of human behavior in a fire evacuation. Continue the success of capturing and modeling the human behavior in a fire evacuation. This paper presents the influence of human emotion in fire evacuation simulation. In this paper, the emotion-based BDI methodology is presented with a walkthrough example of how emotion can influence the human decision in a fire spreading scenario. The OCEAN model of personality is used to handle the emotional properties in the methodology. Different people have different types of personalities, which can affect both decision-making and emotion in different situations. A fire evacuation simulation is developed by using the Unity3D game engine. The simulation is created based on the emotion-based BDI methodology presented. Hence, the emotion-based BDI methodology can be used to model human behavior and emotional states in a fire evacuation. Overall, the paper introduces a new insight into how to model human behavior in fire evacuation decision-making systematically.

Keywords


Emotion-based BDI; emotion modelling; Unity3D; fire evacuation simulation.

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References


K. Bina and N. Moghadas, “BIM-ABM simulation for emergency evacuation from conference hall, considering gender segregation and architectural design,†Architectural Engineering and Design Management, May 2020, doi: 10.1080/17452007.2020.1761282.

R. Tomar, “Emergency Evacuation Software Model for Simulation Of Physical Changes Physical Change,†Ontario, 2019.

E. Kuligowski, “Evacuation decision-making and behavior in wildfires: Past research, current challenges and a future research agenda,†Fire Safety Journal, pp. 103129–103138, May 2020, doi: 10.1016/j.firesaf.2020.103129.

N. A. Abdul Aziz, R. M. Nordin, Z. Ismail, J. Yunus, and N. Hashim, “Dwelling Fire Safety Evacuation (DFSE): A Conceptual Approach,†MATEC Web of Conferences, vol. 266, Feb. 2019, doi: 10.1051/matecconf/201926605004.

G. Hofinger, R. Zinke, and L. Künzer, “Human Factors in Evacuation Simulation, Planning, and Guidance,†Transportation Research Procedia, vol. 2, 2014, doi: 10.1016/j.trpro.2014.09.101.

C. Şahin, J. Rokne, and R. Alhajj, “Human behavior modeling for simulating evacuation of buildings during emergencies,†Physica A: Statistical Mechanics and its Applications, vol. 528, pp. 121432–121444, 2019, doi: 10.1016/j.physa.2019.121432.

T. Ting Liu Zhen Liu Minhua Ma Rongrong Xuan Tian Chen Tao Lu Lipeng Yu, “An Information Perception-Based Emotion Contagion Model for Fire Evacuation,†3D Research, vol. 8, 2017, doi: 10.1007/s13319-017-0120-4.

M. Cabanac, “What is emotion?,†Behavioural Processes, vol. 60, no. 2, Nov. 2002, doi: 10.1016/S0376-6357(02)00078-5.

G. Marreiros, R. Santos, C. Ramos, and J. Neves, “Context-aware emotion-based model for group decision making,†IEEE Intelligent Systems, vol. 25, no. 2, pp. 31–39, 2010, doi: 10.1109/MIS.2010.46.

P. Sarshar, J. Radianti, and J. J. Gonzalez, “Modeling panic in ship fire evacuation using dynamic Bayesian network,†2013 3rd International Conference on Innovative Computing Technology, INTECH 2013, pp. 301–307, 2013, doi: 10.1109/INTECH.2013.6653668.

H. Faroqi and M. S. Mesgari, “Agent-based crowd simulation considering emotion contagion for emergency evacuation problem,†in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 2015, vol. 40, no. 1W5, pp. 193–196. doi: 10.5194/isprsarchives-XL-1-W5-193-2015.

B. Liu, Z. Liu, D. Sun, and C. Bi, “An Evacuation Route Model of Crowd Based on Emotion and Geodesic,†Mathematical Problems in Engineering, vol. 2018, Oct. 2018, doi: 10.1155/2018/5397071.

X. H. Ta, B. Gaudou, D. Longin, and Tu. V. Ho, “Emotional Contagion Model for Group Evacuation Simulation,†Informatica, vol. 41, no. 2, pp. 169–182, 2017.

T. Liu, Z. Liu, M. Ma, T. Chen, C. Liu, and Y. Chai, “3D visual simulation of individual and crowd behavior in earthquake evacuation,†Simulation: Transactions of the Society for Modeling and Simulation International, vol. 95, no. 1, 2019, doi: 10.1177/0037549717753294.

W. Zakaria, U. K. Yusof, and S. Naim, “Modelling and Simulation of Crowd Evacuation with Cognitive Behaviour using Fuzzy Logic,†2019.

Y. Mao, Z. Li, Y. Li, and W. He, “Emotion-based diversity crowd behavior simulation in public emergency,†The Visual Computer, vol. 35, no. 12, Dec. 2019, doi: 10.1007/s00371-018-1568-9.

G. Loh Chee Wyai, S. Keng Wai, C. Wai Shiang, and Muhammad Asyraf Bin Khairuddin, “Modelling Human Decision in Fire Evacuation Simulation through BDI Based Cognitive Architecture,†Solid State Technology, pp. 2766–2779, Feb. 2020, Accessed: Jan. 29, 2021. [Online]. Available: http://solidstatetechnology.us/index.php/JSST/article/view/2030

S. K. Wai, C. WaiShiang, M. A. bin Khairuddin, Y. R. B. Bujang, R. Hidayat, and C. H. Paschal, “Autonomous Agents in 3D Crowd Simulation Through BDI Architecture,†JOIV : International Journal on Informatics Visualization, vol. 5, no. 1, p. 1, Mar. 2021, doi: 10.30630/joiv.5.1.371.

Y. C. Ng, W. S. Cheah, K. W. Sim, M. A. bin Khairuddin, N. Bt Jali, and E. Ak Mit, “Developing fire evacuation simulation through BDI-based modelling and simulation,†Journal of Physics: Conference Series, vol. 2107, no. 1, Dec. 2021, doi: 10.1088/1742-6596/2107/1/012047.

H. Jiang, J. M. Vidal, and M. N. Huhns, “EBDI: An architecture for emotional agents,†in Proceedings of the International Conference on Autonomous Agents, 2007, pp. 38–40. doi: 10.1145/1329125.1329139.

Y. Mao, X. Du, Y. Li, and W. He, “An emotion based simulation framework for complex evacuation scenarios,†Graphical Models, vol. 102, Mar. 2019, doi: 10.1016/j.gmod.2019.01.001.

M. Cao, G. Zhang, M. Wang, D. Lu, and H. Liu, “A method of emotion contagion for crowd evacuation,†Physica A: Statistical Mechanics and its Applications, vol. 483, Oct. 2017, doi: 10.1016/j.physa.2017.04.137.

Y. Mao, S. Yang, Z. Li, and Y. Li, “Personality trait and group emotion contagion based crowd simulation for emergency evacuation,†Multimedia Tools and Applications, vol. 79, no. 5–6, pp. 3077–3104, Feb. 2020, doi: 10.1007/s11042-018-6069-3.

W. G. Parrott, Emotions in social psychology: Essential readings. Psychology Press, 2001.

I. Stamatopoulou, I. Sakellariou, and P. Kefalas, “Formal agent-based modelling and simulation of crowd behaviour in emergency evacuation plans,†in Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, 2012, vol. 1, pp. 1133–1138. doi: 10.1109/ICTAI.2012.161.

S. F. Zulkifli, C. W. Shiang, M. A. bin Khairuddin, and N. bt Jali, “Modeling emotion oriented approach through agent-oriented approach,†International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 2, pp. 647–653, 2020, doi: 10.18517/IJASEIT.10.2.10644.

A. A. Lopez-Lorca, T. Miller, S. Pedell, L. Sterling, and M. Kissoon Curumsing, “Modelling Emotional Requirements.â€

D. L. Robinson, “Brain function, emotional experience and personality,†Netherlands Journal of Psychology, vol. 64, no. 4, pp. 152–168, Dec. 2008, doi: 10.1007/bf03076418.

X. Zhan, L. Yang, K. Zhu, X. Kong, P. Rao, and T. Zhang, “Experimental study of the impact of personality traits on occupant exit choice during building evacuation,†Procedia Engineering, vol. 62, pp. 548–553, 2013, doi: 10.1016/J.PROENG.2013.08.099.

F. Durupinar, N. Pelechano, J. Allbeck, U. Güdükbay, and N. I. Badler, “How the ocean personality model affects the perception of crowds,†IEEE Computer Graphics and Applications, vol. 31, no. 3, pp. 22–31, 2011, doi: 10.1109/MCG.2009.105.