Artificial Intelligence Methodologies in Air Transportation Network Routing and Scheduling

Abstract

The objectives of this final report are to support faculty, as well as graduate and undergraduate students, to develop improved methodologies for the scheduling and routing of military transport aircraft; and to do so in collaboration with personnel from Flight XPY at the USAF Air Mobility Command, Scott AFB, IL.

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Document Details

Document Type
Technical Report
Publication Date
Apr 14, 2000
Accession Number
ADA397000

Entities

People

  • Ervin Y. Rodin

Organizations

  • University of Washington

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Air Transportation
  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Computers
  • Engineering
  • Flow Network
  • Mathematics
  • Neural Networks
  • Operations Research
  • Optimization
  • Scheduling (Production)
  • Students
  • Systems Science
  • Teamwork
  • Transport Aircraft
  • Transportation

Readers

  • Aerospace logistics and air mobility.
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • STEM Education

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy