Using Agent-Based Modeling to Evaluate UAS Behaviors in a Target-Rich Environment

Abstract

The trade-off between accuracy and speed is a re-occurring dilemma in many facets of military performance evaluation. This is an especially important issue in the world of ISR. One of the most progressive areas of ISR capabilities has been the utilization of Unmanned Aircraft Systems (UAS). Many people believe that the future of UAS lies in smaller vehicles flying in swarms. We use the agent-based System Effectiveness and Analysis Simulation (SEAS) to create a simulation environment where different configurations of UAS vehicles can process targets and provide output that allows us to gain insight into the benefits and drawbacks of each configuration. Our evaluation on the performance of the different configurations is based on probability of correct identification, average time to identify a target after it has deployed in the area of interest, and average time to identify all targets in an area.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2009
Accession Number
ADA500589

Entities

People

  • Joseph A. Van Kuiken

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • C4I
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Agent-Based Simulations
  • Air Force
  • Aircrafts
  • Collision Avoidance
  • Computational Science
  • Computer Programming
  • Data Fusion
  • Department Of Defense
  • Identification
  • Information Processing
  • Mathematical Models
  • Probability
  • Random Variables
  • Simulations
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Vehicles

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Systems Analysis and Design
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy
  • Autonomy - UAVs