Distributed agent-based air traffic flow management

Proceedings of the International Conference on Autonomous Agents

Volumn , Issue , 2007, Pages 342-349

  Tumer, Kagan ^a   Agogino, Adrian ^b  

^a OREGON STATE UNIVERSITY   (United States)

^b NASA AMES RESEARCH CENTER   (United States)

Author keywords

Air traffic control; Multiagent systems; Optimization; Reinforcement learning

Indexed keywords

2-D SPACES; ADAPTIVE SOLUTIONS; AIR TRAFFIC CONTROLLERS; AIR TRAFFIC FLOWS; AIR-TRAFFIC FLOW MANAGEMENTS; DISTRIBUTED AGENTS; FEDERAL AVIATION ADMINISTRATIONS; FLOW MANAGEMENTS; HEAVY TRAFFICS; MONTE-CARLO ESTIMATIONS; MULTI-AGENT ALGORITHMS; MULTIAGENT SYSTEMS; NEXT-GENERATION AIR TRANSPORTATION SYSTEMS; SPECIFIC LOCATIONS; SPEED-UP; TRAFFIC FLOW MANAGEMENTS; TRAFFIC VOLUMES;

AGENTS; AIR NAVIGATION; AIR TRANSPORTATION; AUTONOMOUS AGENTS; CONTROL TOWERS; COORDINATION REACTIONS; FUZZY CLUSTERING; NASA; REINFORCEMENT; REINFORCEMENT LEARNING; TRAFFIC SURVEYS;

AIR TRAFFIC CONTROL;

EID: 60349116249     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1329125.1329434     Document Type: Conference Paper

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