Abstract
Purpose: To predict and analyze the spatial and temporal distribution of combat attrition.Methods: Construct a combat process simulation and combat attrition forecasting model using system dynamics methods and introduce macroscopic attrition data to the attrition forecast model by using agents to decompose the attrition data, assigning battle wound information according to specific ratios.Results: Using the attrition forecast model, based on system dynamics, the causal loop and stock-flow relationship of the combat operation process may be constructed by combining the specific combat mission with an analysis of the factors that influence the operation, such as the lethality of the weapons and the defensive capability of the two sides. The damage levels of the various targets on the two sides in combat are converted into attrition data. Based on these data, an agent modeling method is used to extract the macroscopic attrition data derived from the battle attrition forecast model. By constructing a correspondence between the combat target damage level and the various types of battle injuries, the injury to each casualty may be modeled and assigned a value in order to complete the mapping from attrition to injury.Conclusions: This work establishes an attrition forecasting model based on system dynamics and an agent-based simulation model for the occurrence of casualties. It can estimate the temporal and spatial distribution of attrition in combat.
Use of System Dynamics Forecasting Model in Transportation System to Reduce Vehicular Emissions-A Mathematical Approach