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Optimization–Based Analysis of Collaborative Airport Arrival Planning

CIGNA Health Care, 900 Cottage Grove Road, 5337, Hartford, Connecticut 06152
Charles Stark Draper Laboratory, 555 Technology Square, Cambridge, Massachusetts 02139
Metron Aviation, Inc., 131 Elden Street, Herndon, Virginia 20170
Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139
kari.andersson{at}cigna.com
whall{at}draper.com
atkins{at}metronaviation.com
feron{at}mit.edu

This paper describes, a novel optimization–based approach to benefits analysis that allows us to analyze new collaborative air traffic management tools. We apply this method to analysis of the Collaborative Arrival Planner (CAP), a concept under development by NASA as part of a suite of decision–support tools for improved air traffic management. Central to our benefits analysis is an integer program, the Arrival Sequencing Model (ASM), which minimizes cost through adjustments to the arrival sequence. We use the ASM to evaluate whether CAP–enabled airline control over and/or visibility into the airport arrival sequencing process could improve overall performance of the air transportation system.

History: Received: July 2001; revised: July 2002; accepted: July 2002.