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Journal of Advanced Transportation
Volume 2017, Article ID 9575676, 16 pages
https://doi.org/10.1155/2017/9575676
Research Article

A Least-Square Model to Estimate Historical Percentages of Itinerant General Aviation Operations by Aircraft Types and Flight Rules at an Airport

1The Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX 76019, USA
2Air Transportation Systems Laboratory, The Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, VA 24061, USA

Correspondence should be addressed to Tao Li; ude.tv@18oat

Received 1 March 2017; Revised 11 May 2017; Accepted 4 June 2017; Published 25 July 2017

Academic Editor: Andrea D’Ariano

Copyright © 2017 Tao Li and Antonio A. Trani. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Historical airport-level General Aviation (GA) activity plays an important role in airport managerial and operational decision-making processes. We developed a model to estimate historical percentages of itinerant GA operations by four aircraft types and two flight rules. The model is formulated as a least-square optimization model and can be applied to both towered and nontowered airports. We applied the model to airports in the Terminal Area Forecast and compared model estimates with the observed statistics. This study provides a method that could be used in the decision-making processes that require detailed historical GA operations.