ENHANCED SEMI-AUTOMATED BEHAVIORS FOR BUILDING CLEARING OPERATION IN KOREAN BATTLEFIELD ENVIRONMENT

Abstract

Global urbanization has increased the importance of military operations in urban terrain (MOUT) in recent wars. However, the defense modeling and simulation community in Korea has faced challenges in applying the characteristics of urban terrain and MOUT in the analysis of contemporary wars. To overcome these issues, we enhanced the semi-automated behaviors in the One Semi-Automated Forces (OneSAF) simulation system for the building clearing operation, which is one of the most important operations in MOUT. Existing OneSAF behaviors have limitations when applying the actual actions of each combatant in the simulation. However, the enhanced behaviors can make the simulation more realistic. Through simulation experiments, we proved that these behaviors yield reliable simulation results and contribute to reasonable and effective MOUT simulations of the Korean battlefield environment.