“A Multi-Agent Simulation of Collaborative Air Traffic Flow Management,” by Shawn R. Wolfe, Peter A. Jarvis, Francis Y. Enomoto, Maarten Sierhuis, Bart-Jan van Putten, and Kapil S. Sheth, has been published as Chapter 18 (pp. 357-381) of Multi-Agent Systems for Traffic and Transportation Engineering, edited by Ana L. C. Bazzan and Franziska Klügl, published by Information Science Reference.
The chapter describes the design of an agent-based simulation of Collaborative Traffic Flow Management (CTFM), and the set of experiments and findings at the time of the original submission (late 2007). The experiments concentrated only on the route selection phase of CTFM and explored the resulting performance when airspace users (agents) could choose route alternatives directly, under different levels of central control. The results showed that the distributed decision making of the independent agents could result in better overall performance than under strict central control, but could also produce worse results under certain scenarios when uncooperative behavior remained unchecked.
BACKGROUND: The CTFM concept of operations explores how collaboration can improve the efficiency of air traffic flow management, as well as the satisfaction level of the airspace users. The original field studies and concept development were conducted before the Intelligent Systems Division’s involvement. The current focus of the project is to simulate (in software) aspects of the concept of operations, revealing possible benefits and issues before employing Human in the Loop simulations. CTFM researchers are developing agent-based models to simulate the collaboration processes in the final simulation.
COLLABORATORS: Karl D. Bilimoria (ARC/AFO), Robert A. Nado (ARC/TI); Husni Idris (L-3 Communications); Jimmy Krozel (Metron Aviation)
NASA PROGRAM FUNDING: ARMD - Airspace Systems Program
Contact: Shawn Wolfe