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.
Artificial Intelligence Methodologies in Air Transportation Network Routing and Scheduling
2000
5 pages
Report
No indication
English
Computers, Control & Information Theory , Navigation Systems , Methodology , Neural nets , Optimization , Artificial intelligence , Air transportation , Algorithms , Military personnel , Decision making , Military aircraft , Time dependence , Networks , Linear programming , Integer programming , Rule based systems , Clustering , Scheduling , Expert systems , Routing , Hierarchies , Physicians , Surgery , Transport aircraft , Airmobile operations , Scientists
Distributed methodologies for traffic control: scheduling, stability & routing
British Library Conference Proceedings | 1994
|Artificial Intelligence in Transportation
Springer Verlag | 2022
|Artificial Intelligence‐Based Transportation System
Wiley | 2024
|Artificial Intelligence Deployment in Transportation Systems
Springer Verlag | 2021
|Artificial intelligence robot for transportation inspection
European Patent Office | 2023
|