Accession Number:

ADA464024

Title:

Terrain Based Prediction to Reduce the Search Area in Response to Insurgent Attacks

Descriptive Note:

Student paper

Corporate Author:

VIRGINIA UNIV CHARLOTTESVILLE DEPT OF SYSTEMS ENGINEERING

Personal Author(s):

Report Date:

2005-06-01

Pagination or Media Count:

60.0

Abstract:

Insurgents have used mortars to attack their enemies for decades. Iraq is no exception. This paper describes a terrain based technique investigated to predict the most likely routes an insurgent will take after firing his mortar where along the routes he is likely to be located and which insurgent friendly area he is headed to. Specifically. this prediction method quantified knowledge of the terrain and knowledge of the enemys habits to determine his most likely actions. Remote objects represent the quantification of the enemys habits. These objects influence is calculated using a potential fields method. The k-best routes are generated with an A optimization algorithm using multiple methods to systematically alter the quantified information about the terrain and enemys habits. Finally. the information is presented to the user through a graphical user interface with the network routes and the predicted progress of the insurgents along the routes.

Subject Categories:

  • Numerical Mathematics
  • Unconventional Warfare

Distribution Statement:

APPROVED FOR PUBLIC RELEASE