Airline-Driven Ground Delay Programs: A Benefits Assessment

36 Pages Posted: 8 Aug 2017 Last revised: 23 Jan 2018

See all articles by Chiwei Yan

Chiwei Yan

Uber Technologies, Inc.

Vikrant Vaze

Thayer School of Engineering

Cynthia Barnhart

Massachusetts Institute of Technology (MIT) - Operations Research Center

Date Written: August 5, 2017

Abstract

Three decades of research studies in ground delay program (GDP) decision-making, and air traffic flow management in general, have produced several analytical models and decision support tools to design GDPs with minimum delay costs. Most of these models are centralized, i.e., the central authority almost completely decides the GDP design by optimizing certain centralized objectives. In this paper, we assess the benefits of an airline-driven decentralized approach for designing GDPs. The motivation for an airline-driven approach is the ability to incorporate the inherent differences between airlines when prioritizing, and responding to, different GDP designs. Such differences arise from the airlines' diverse business objectives and operational characteristics. We develop an integrated platform for simulating flight operations during GDPs, an airline recovery module for mimicking the recovery actions of each individual airline under a GDP, and an algorithm for fast solution of the recovery problems to optimality. While some of the individual analytical components of our framework, model and algorithm share certain similarities with those used by previous researchers, to the best of our knowledge, this paper presents the first comprehensive platform for simulating and optimizing airline operations under a GDP. Using this framework, we conduct detailed computational experiments based on actual schedule data at three of the busiest airports in the United States. We choose the recently developed Majority Judgment voting and grading method as our airline-driven decentralized approach for GDP design because of the superior theoretical and practical benefits afforded by this approach as shown by multiple recent studies. The results of our evaluation suggest that adopting this airline-driven approach in designing the GDPs consistently and significantly reduces airport-wide delay costs compared to the state-of-the-research centralized approaches. Moreover, the cost reduction benefits of the resultant airline-driven GDP designs are equitably distributed across different airlines.

Keywords: Ground Delay Programs; Air Traffic Flow Management; Collaborative Decision Making; Airline Recovery Operations

Suggested Citation

Yan, Chiwei and Vaze, Vikrant and Barnhart, Cynthia, Airline-Driven Ground Delay Programs: A Benefits Assessment (August 5, 2017). Available at SSRN: https://ssrn.com/abstract=3014176 or http://dx.doi.org/10.2139/ssrn.3014176

Chiwei Yan (Contact Author)

Uber Technologies, Inc. ( email )

San Francisco, CA 94158
United States

HOME PAGE: http://web.mit.edu/chiwei/www

Vikrant Vaze

Thayer School of Engineering ( email )

14 Engineering Drive
Hanover, NH New Hampshire 03755
United States
6036469147 (Phone)

HOME PAGE: http://engineering.dartmouth.edu/people/faculty/vikrant-vaze/

Cynthia Barnhart

Massachusetts Institute of Technology (MIT) - Operations Research Center ( email )

77 Massachusetts Avenue
Bldg. E 40-149
Cambridge, MA 02139
United States

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