DocumentCode
1602803
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
fYear
2011
Firstpage
1
Lastpage
5
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Communications and Signal Processing (ICICS) 2011 8th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4577-0029-3
Type
conf
DOI
10.1109/ICICS.2011.6173577
Filename
6173577
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