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Mapping the surface movement area operations: An application of Petri Nets to the case of New York JFK airport
Journal of Airport Management,
6
(3),
260-273
(2012)
Abstract
In response to the need for managing demand and capacity in the Air Transportation System (ATS), a wide range of improvements are envisioned in the next generation ATS (NextGen). These improvements include the use of new operational procedures as well as new technologies and infrastructure. The impact of NextGen improvements on the efficiency of the ATS and on user and service provider business objectives is of interest to multiple stakeholders. In particular, ramp and taxiway congestion, and taxiway and runway construction projects at airports have made it necessary for analysts to understand surface operations with greater precision. In this paper, the authors introduce aviation practitioners to the concept of Petri Nets for performance analysis of airport surface operations. Together with high fidelity flight surface movement data from the ASDE-X system installed at New York John F. Kennedy International airport (one of a number of airports with this capability), they show how Petri Nets may be used to derive measures of congestion, runway throughput and utilisation, to present stakeholders with the necessary information to make informed planning decisions.
Keywords: NextGen; surface operations; Petri Nets; performance analysis
The full article is available to subscribers to the journal.
Author's Biography
Tony Diana is the Acting Division Manager, Outreach at the US Federal Aviation Administration (FAA). He received his doctorate in policy analysis and quantitative management from the University of Maryland, Baltimore County. He is involved in the communication of progress in modernisation programmes at US airports, metroplexes and airspaces. Prior to that position, he was Division Manager, NextGen Performance in the Office of NextGen Performance and Outreach and Deputy Division Manager, Forecasting and Performance Analysis, in the Office of Aviation Policy and Plans of the FAA, where he managed the aviation system performance metrics data warehouse. At the Maryland Aviation Administration, he was involved in performance measurement and route development. Tony’s main interests are performance evaluation and benchmarking as well as the study of delay. He is a certified Lean Sigma Master Black Belt and a certified Project Management Professional.
