Comparing Route Selection Strategies in Collaborative Traffic Flow Management

In the United States, air traffic flow management (TFM) is concerned with directing traffic through the national airspace system (NAS), such that unsafe conditions are avoided. Unlike airport tower and en-route controllers, who focus on aircraft operating in their immediate airspace and deal directly with pilots, TFM focuses on balancing overall traffic demand with airport and airspace capacity. NASA's Next Generation Air Transportation System (NGATS) project seeks to address these issues in several ways; our aim is to explore and test their new concept of operations for collaborative traffic flow management (CTFM) through a multi-agent simulation.

[1]  Shawn R. Wolfe.  Supporting Air Traffic Flow Management with Agents , 2007, Interaction Challenges for Intelligent Assistants.

[2]  Robert A. Vivona,et al.  Field Observations of Interactions Between Traffic Flow Management and Airline Operations , 2006 .

[3]  Robert A. Vivona,et al.  Operational Concept for Collaborative Traffic Flow Management based on Field Observations , 2005 .

[4]  Maarten Sierhuis,et al.  Automating CapCom Using Mobile Agents and Robotic Assistants , 2005 .

[5]  Maarten Sierhuis,et al.  NASA's Mobile Agents Architecture: A Multi-Agent Workflow and Communication System for Planetary Exploration , 2005 .

[6]  Alexis Drogoul,et al.  An application of multi-agent coordination techniques in air traffic management , 2003, IEEE/WIC International Conference on Intelligent Agent Technology, 2003. IAT 2003..

[7]  Doug Sweet,et al.  National Airspace System Simulation Capturing the Interactions of Air Traffic Management and Flight Trajectories , 2003 .

[8]  Maarten Sierhuis,et al.  Advantages of Brahms for Specifying and Implementing a Multiagent Human-Robotic Exploration System , 2003, FLAIRS.

[9]  Matthew Blake,et al.  Fast-Time NAS Simulation System for Analysis of Advanced ATM Concepts , 2002 .

[10]  Vikram Manikonda,et al.  FAST -TIME SIMULATION SYSTEM FOR ANALYSIS OF ADVANCED AIR TRANSPORTATION CONCEPTS , 2002 .

[11]  Kapil Sheth,et al.  FACET: Future ATM Concepts Evaluation Tool , 2001 .

[12]  Maarten Sierhuis,et al.  Modeling and simulating work practice : BRAHMS: a multiagent modeling and simulation language for work system analysis and design , 2001 .

[13]  Maarten Sierhuis,et al.  Brahms: simulating practice for work systems design , 1998, Int. J. Hum. Comput. Stud..

[14]  Sverrir Olafsson,et al.  Resource Allocation as an Evolving Strategy , 1996, Evolutionary Computation.

[15]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.