Reduction of taxi-related airport emissions with disruption-aware stand assignment: case of Mexico City International Airport

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Abstract

Airport management is often challenged by the task of managing aircraft parking positions most efficiently while complying with environmental regulations and capacity restrictions. Frequently this task is additionally affected by various perturbations, affecting punctuality of airport operations. This paper presents an innovative approach for obtaining an efficient stand assignment considering the stochastic nature of the airport environment and emissions reduction target of the modern air transportation industry. Furthermore, the presented methodology demonstrates how the same procedure of creating a stand assignment can help to identify an emissions mitigation potential. This paper illustrates the application of the presented methodology combined with simulation and demonstrates the impact of the application of Bayesian modeling and metaheuristic optimization for reduction of taxi-related emissions.
Original languageEnglish
Title of host publicationProceedings of the 2020 Winter Simulation Conference
EditorsK.-H. Bae, B. Feng, S. Kim, S. Lazarova-Molnar, Z. Zheng, T. Roeder, R. Thiesing
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE), Inc
Number of pages12
ISBN (Electronic)9781424457717, 9781424457724
ISBN (Print)9781424457700
Publication statusAccepted/In press - 2020
EventVirtual Winter Simulation Conference - online
Duration: 14 Dec 202018 Dec 2020
Conference number: 2020

Conference

ConferenceVirtual Winter Simulation Conference
Abbreviated titleWSC
Period14/12/2018/12/20

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