Title :
Vehicle simulation and interception for military command and control systems
Author :
Speidel, Stuart ; Perrie, Justin ; Krishna, Aneesh ; Tan, Tele ; Wiese, John
Author_Institution :
Dept. of Comput., Curtin Univ. of Technol., Perth, WA, Australia
Abstract :
This paper presents a solution to predict enemy vehicle movements and generate optimal interception paths for military command and control software. Fast and accurate prediction and interception systems can aid command decisions by presenting a refined view of otherwise complex information. The solution presented uses agent based modelling for vehicle movement simulation and a decision tree search to find an optimal interception path. Simulation results are presented to demonstrate the effectiveness of these approaches.
Keywords :
command and control systems; decision trees; military vehicles; multi-agent systems; agent based modelling; decision tree search; enemy vehicle movements; military command and control systems; optimal interception paths; vehicle interception; vehicle movement simulation; Arrays; Australia; Command and control systems; Computer aided software engineering; Data models; Roads; Vehicles;
Conference_Titel :
Information, Communications and Signal Processing (ICICS) 2011 8th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0029-3
DOI :
10.1109/ICICS.2011.6173577
