International Journal Papers

Agent Modeling Bae, J.W., Lee, S.H., Hong, J.. and Moon, I.-C., 2014. Simulation-Based Analyses on Massive Evacuation from Metropolis during Bombardment. SIMULATION: Transactions of The Society for Modeling and Simulation International, 90(11), pp.1244–1267.

2014.03.24 18:26

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Bae, J.W., Lee, S.H., Hong, J.. and Moon, I.-C., 2014. Simulation-Based Analyses on Massive Evacuation from Metropolis during Bombardment. SIMULATION: Transactions of The Society for Modeling and Simulation International, 90(11), pp.1244–1267.

Abstract :

The bombardment of a metropolis is considered a nightmare scenario. To reduce losses from such an assault, big cities have developed evacuation policies in case of bombardment. However, to build efficient evacuation policies, much footing data is required that considers both military and civilian views. Agent-based modeling and simulation could be utilized as a method to obtain the footing data. In this paper, we develop an evacuation agent-based model that describes a massive evacuation through the road network of a metropolis during a bombardment. In particular, our model took account of bombing strategies (i.e. the military view) as well as the characteristics of roads and evacuation agents (i.e. the civilian view) in order to analyze evacuations from both military and civilian perspectives. Moreover, we applied real data from a target region to calibrate parameters and initial conditions of the evacuation agent-based models, which increased the reliability of simulation results. Using the evacuation agent-based model, we designed and performed virtual experiments with varying military and civilian factors. Through the various analyses on the experiment results, we showed that our model could be a framework that provides footing data to develop efficient evacuation policies and preparations.

@article{Bae09102014,
author = {Bae, Jang Won and Lee, SeHoon and Hong, Jeong Hee and Moon, Il-Chul}, 
title = {Simulation-based analyses of an evacuation from a metropolis during a bombardment},
year = {2014}, 
doi = {10.1177/0037549714551291}, 
URL = {http://sim.sagepub.com/content/early/2014/10/09/0037549714551291.abstract}, 
eprint = {http://sim.sagepub.com/content/early/2014/10/09/0037549714551291.full.pdf+html}, 
journal = {SIMULATION} 
}

Source Website :

http://sim.sagepub.com/content/90/11/1244.refs

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No.	Subject
18	Hyungho Na, Jaemyung Ahn, and Il-Chul Moon, "Weapon–Target Assignment by Reinforcement Learning with Pointer Network, " Journal of Aerospacce Information Systems, Vol. 20, No. 1 (2023), pp. 53-59
17	Tae-Sub Yun, Dongjun Kim, Il-Chul Moon, Jang Won Bae, (2022) Agent-Based Model for Urban Administration: A Case Study of Bridge Construction and its Traffic Dispersion Effect, Journal of Artificial Societies and Social Simulation
16	Woo-Seop Yun, Sunggil Ko, Muhyun Byun, Heeyoung Kim, Il-Chul Moon and Tae-Eog Lee, Toward Robust Battle Experimental Design for Command and Control of Mechanized Infantry Brigade, Military Operations Research, Vol. 27, No. 1 (2022), pp. 45-72
15	Tae-Sub Yun and Il-Chul Moon, "Housing Market Agent-Based Simulation with Loan-To-Value and Debt-To-Income", Journal of Artificial Societies and Social Simulation, Vol. 23, Issue 4, 5, 2020
14	J. W. Bae et al., "Layered Behavior Modeling via Combining Descriptive and Prescriptive Approaches: A Case Study of Infantry Company Engagement," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 7, pp. 2551-2565, July 2020
13	Shin, S. J., Kang, A., Kim, D., Lee, J., Bae, J. W., & Moon, I. C. (2019). Improving counterfire operations with enhanced command and control structure. Computational and Mathematical Organization Theory, 25(4), 464-498.
12	J. W. Bae et al., "Evaluation of Disaster Response System Using Agent-Based Model With Geospatial and Medical Details," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 9, pp. 1454-1469, Sept. 2018.
11	Bae, J. W., Bae, S. W., Moon, I. C., & Kim, T. G. (2016). Efficient Flattening Algorithm for Hierarchical and Dynamic Structure Discrete Event Models. ACM Transactions on Modeling and Computer Simulation (TOMACS), 26(4), 25.
10	Bae, J. W., & Moon, I. C. (2016). LDEF Formalism for Agent-Based Model Development. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 46(6), 793–808.
9	Bae, J. W., Kim, J. H., Moon, I.-C., & Kim, T. G. (2016). Accelerated Simulation of Hierarchical Military Operations with Tabulation Technique. Journal of Simulation, 10(1), 36–49.
8	Jung, C.J., W.-S. Yun, I.-C. Moon, and T.-E. Lee. 2015. “Modelling and Simulation of a River-Crossing Operation via Discrete Event Simulation with Engineering Details.” Defence Science Journal 65 (2): 135–43.
7	Yun, W.-S., I.-C. Moon, and T.-E. Lee. 2015. “Agent-Based Simulation of Time to Decide: Military Commands and Time Delays.” Journal of Artificial Societies and Social Simulation 18 (4).
6	Lee, S.H., Hong, J.H., Bae, J.W. and Moon, I.-C., 2015. Impact of Population Relocation to City Commerce: Micro-Level Estimation with Validated Agent-Based Model. Journal of Artificial Societies and Social Simulation, 18(2).
5	Lee, G., J. W. Bae, N. Oh, J. H. Hong, and I.-C. Moon. 2015. “Simulation Experiment of Disaster Response Organizational Structures With Alternative Optimization Techniques.” Social Science Computer Review 33 (3): 343–71.
»	Bae, J.W., Lee, S.H., Hong, J.. and Moon, I.-C., 2014. Simulation-Based Analyses on Massive Evacuation from Metropolis during Bombardment. SIMULATION: Transactions of The Society for Modeling and Simulation International, 90(11), pp.1244–1267.
3	Kim, J., T. G. Kim, and I. C. Moon. 2012. “New Insight into Doctrine via Simulation Interoperation of Heterogeneous Levels of Models in Battle Experimentation.” SIMULATION: Transactions of The Society for Modeling and Simulation International 88 (6):
2	Il-Chul Moon and Kathleen M. Carley, Modeling and Simulation of Terrorist Networks in Social and Geospatial dimensions, IEEE Intelligent Systems, Special Issue on Social Computing, Vol. 22, pp 40-49, Sep/Oct. 2007
1	Il-Chul Moon, Mike Schneider, and Kathleen M. Carley, Evolution of Player Skill in the America’s Army Game, SIMULATION: Transactions of The Society for Modeling and Simulation International, Vol.82, Issue 11, pp 703-717, Nov. 2006

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