MULTI-AGENT EVACUATION SIMULATION WITH FIRE AND SMOKE DYNAMICS: A REPRODUCIBLE BASELINE SINGLE-FLOOR STUDY
DOI:
https://doi.org/10.37943/CPJU3187Keywords:
multi-agent simulation, evacuation modeling, fire dynamics, smoke propagation, building safety, agent-based modelingAbstract
Building evacuation during fire emergencies remains a critical challenge for urban safety, particularly in rapidly developing cities with complex high-rise architecture. This study presents a novel multi-agent evacuation simulation framework implemented using the Mesa agent-based modeling platform, specifically tailored for building safety analysis in Astana, Kazakhstan. The model integrates dynamic fire and smoke propagation with heterogeneous agent behaviors, simulating four distinct evacuee types: healthy adults, elderly/children, panicking individuals, and leaders. Through comprehensive simulation experiments, we analyzed evacuation patterns, exit utilization, agent performance differences, and spatial density dynamics under fire conditions. Results demonstrate that evacuation completion occurs within 180 simulation steps, with significant performance variations across agent types. Leaders achieved the fastest evacuation times (mean: 85 steps), while elderly agents required substantially longer (mean: 142 steps). Fire and smoke spread analysis revealed exponential growth patterns, with smoke cells expanding from 5 to over 120 cells within 100 steps. Exit utilization analysis showed balanced distribution across three exits (32%, 35%, 33%), indicating effective pathfinding algorithms. This research addresses a critical gap in regional fire safety literature, as no prior studies have specifically examined multi-agent evacuation dynamics in the Astana context. The findings provide actionable insights for building design, emergency planning, and evacuation protocol optimization in Central Asian urban environments characterized by extreme climatic conditions and modern high-rise architecture.
References
Wang, X., Liu, B., Ma, W., Feng, Y., Li, Q., & Sun, T. (2024). Simulations on evacuation strategy and evacuation process of the subway train under the fire. Fire, 7(12), 464. https://doi.org/10.3390/fire7120464
Kasereka, S. K., Kalondji, N. E., Ilunga, G. W. K., Ngoie, R.-B. M., Kyamakya, K., & Kasoro, N. M. (2025). Enhancing building evacuation efficiency in case of fire breakout by integrating evacuee categorization into an agent-based simulation. IEEE Access, 13, 10595–10618. https://doi.org/10.1109/ACCESS.2025.3525480
Senanayake, G. P. D. P., Kieu, M., Zou, Y., & Dirks, K. (2024). Agent-based simulation for pedestrian evacuation: A systematic literature review. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2024.104705
Niu, L., & Song, Y. (2016). A simulation model fusing space and agent for indoor dynamic fire evacuation analysis. Simulation, 92(3), 215–232. https://doi.org/10.1177/0037549715626287
Chen, J., Hu, Z., & Yang, S. (2024). Simulation of fire evacuation in a naturally ventilated bifurcated tunnel. Fire, 7(6), 202. https://doi.org/10.3390/fire7060202
Alidmat, O. K. A., Umi, K. Y., Alhenawi, E., Badarneh, H. J., Alazaidah, R., & Al-Rbabah, L. (2023). Simulation of exit selection behavior evacuation based on an improved cellular automata model during fire disaster. 2023 24th International Arab Conference on Information Technology (ACIT), 1–8. https://doi.org/10.1109/ACIT58888.2023.10453699
Alidmat, O. K. A., Alazaidah, R., Arabiat, M., Khafajeh, H., Aljaidi, M., Yusof, U. K., & Elrashidi, A. (2024). Dynamic exit selection and counting area adjustment for efficient crowd evacuation in asymmetrical layouts. 2024 25th International Arab Conference on Information Technology (ACIT), 1–10. https://doi.org/10.1109/ACIT62805.2024.10877032
Zhang, P., Liu, W., Yang, L., Wu, J., Wang, K., & Cui, Y. (2025). A social force-based model for pedestrian evacuation with static guidance in emergency situations. Fire, 8(1), 30. https://doi.org/10.3390/fire8010030
Ding, N., Zhu, Y., Liu, X., Dong, D., & Wang, Y. (2023). A modified social force model for crowd evacuation considering collision predicting behaviors. Applied Mathematics and Computation. https://doi.org/10.1016/j.amc.2023.128448
Li, Z., Huang, H., Li, N., Chu, M. L., & Law, K. (2020). An agent-based simulator for indoor crowd evacuation considering fire impacts. Automation in Construction. https://doi.org/10.1016/j.autcon.2020.103395
Jha, A., Lajnef, N., & Kodur, V. (2025). Modelling the effect of smoke on evacuation strategies in hospital buildings. Buildings, 15(17), 3093. https://doi.org/10.3390/buildings15173093
Zhang, W., Li, C., & Gai, W. (2024). How does evacuation risk change over time? Influences on evacuation strategies during accidental toxic gas releases. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2024.104531
Song, H., Shi, Y., Yao, H., Wei, X., Qin, H., Lou, Z., Bai, Z., Li, J., & Yu, Y. (2024). Influence of wind direction on fire spread on high-rise building facades. Fire, 7(11), 384. https://doi.org/10.3390/fire7110384
Liu, S., Liang, G., Shi, L., Luo, M., & Long, M. (2025). FDS-based study on fire spread and control in modern brick-timber architectural heritage: A case study of faculty house at a university in Changsha. Sustainability, 17(15), 6773. https://doi.org/10.3390/su17156773
Lu, P., Zhang, Z., Onyebuchi, C. H., & Zheng, L. (2023). Agent-based modeling of high-rise building fires reveals self-rescue behaviors and better fire protection designs. Engineering Applications of Artificial Intelligence. https://doi.org/10.1016/j.engappai.2023.107401
Tan, L., Hu, M., & Lin, H. (2014). Agent-based simulation of building evacuation: Combining human behavior with predictable spatial accessibility in a fire emergency. Information Sciences. https://doi.org/10.1016/j.ins.2014.09.029
Chen, Y., Wang, C., Shen, Y., & Zhang, Y. (2025). A simulation-based method for the optimal building evacuation plan: A study of emergency behavior among older adults. Engineering, Construction and Architectural Management. Advance online publication. https://doi.org/10.1108/ECAM-11-2024-1558
Chatra, M., & Bourahla, M. (2024). Agent-based simulation of crowd evacuation through complex spaces. Ingénierie des Systèmes d’Information, 29(1), 83–93. https://doi.org/10.18280/isi.290110
Zhang, B., Lo, J. T. Y., Fang, H., Xie, C., Tang, T., & Lo, S. (2024). Coupled simulation-optimization model for pedestrian evacuation guidance planning. Simulation Modelling Practice and Theory. https://doi.org/10.1016/j.simpat.2024.102922
Islas-Toski, M., Cuevas, E., Pérez-Cisneros, M., & Escobar, H. (2024). Agent-based evacuation modeling: Enhancing building safety in emergency scenarios. Smart Cities, 7(6), 3165–3187. https://doi.org/10.3390/smartcities7060123
Xing, S., Wang, C., Wang, W., Cao, R. F., Yuen, A. C. Y., Lee, E. W. M., Yeoh, G. H., & Chan, Q. N. (2024). A fine discrete floor field cellular automaton model with natural step length for pedestrian dynamics. Simulation Modelling Practice and Theory, 130, 102841. https://doi.org/10.1016/j.simpat.2023.102841
Zhang, Y., Li, W., Rui, Y., Wang, S., Zhu, H., & Yan, Z. (2022). A modified cellular automaton model of pedestrian evacuation in a tunnel fire. Tunnelling and Underground Space Technology, 130, 104673. https://doi.org/10.1016/j.tust.2022.104673
Firdausyi, A. M., Dini, S. U., Nurafni, S., & Viridi, S. (2024). Pedestrian evacuation modeling using agent-based model and social-force model. Journal of Physics: Conference Series, 2734(1), 012032. https://doi.org/10.1088/1742-6596/2734/1/012032
Wu, X., Zhang, L., Zhang, T., & Jiang, Q. (2025). Analysis of crowd vertical evacuation mechanism under different density conditions. Physica A: Statistical Mechanics and its Applications, 657, 130249. https://doi.org/10.1016/j.physa.2024.130249
Giannoulaki, M., & Christoforou, Z. (2024). Pedestrian walking speed analysis: A systematic review. Sustainability, 16(11), 4813. https://doi.org/10.3390/su16114813
Wei, X., Zhao, Y., Lian, L., Yao, H., Song, H., & Qin, H. (2023). Study on group movement characteristics in stairwell of high-rise buildings. Buildings, 13(1), 83. https://doi.org/10.3390/buildings13010083
Yao, Y., Lu, W., & Wang, L. (2023). Experimental study on evacuation behaviour of children in a three-storey kindergarten. Heliyon, 9(6), e16533. https://doi.org/10.1016/j.heliyon.2023.e16533
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