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

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 enemy's habits to determine his most likely actions. Remote objects represent the quantification of the enemy's habits. These object's 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 enemy's 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.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA464024

Entities

People

  • Donald E. Brown
  • Gregory Griffin

Organizations

  • University of Virginia

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Charged Particles
  • Collision Avoidance
  • Command And Control
  • Commercial Aircraft
  • Electric Fields
  • Engineering
  • Geography
  • Graphical User Interface
  • Motion Planning
  • Simulations
  • Southwest Asia
  • Systems Science
  • Terrorists
  • United States
  • User Interface
  • Wave Propagation

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Database Systems and Applications
  • Military and Counterinsurgency Studies.