Analytical approach to solve the problem of aircraft passenger boarding during the coronavirus pandemic

Soolaki, M. and Schultz, M. 2021. Analytical approach to solve the problem of aircraft passenger boarding during the coronavirus pandemic. Transportation Research Part C. 124 102931. https://doi.org/10.1016/j.trc.2020.102931

TitleAnalytical approach to solve the problem of aircraft passenger boarding during the coronavirus pandemic
TypeJournal article
AuthorsSoolaki, M. and Schultz, M.
Abstract

The corona pandemic significantly changes the processes of aircraft and passenger handling at the airport. In our contribution, we focus on the time-critical process of aircraft boarding, where regulations regarding physical distances between passengers will significantly increase
boarding time. The passenger behaviour is implemented in a field-validated stochastic cellular automata model, which is extended by a module to evaluate the transmission risk. We propose an improved boarding process by considering that most of the passengers travel together and should be boarded and seated as a group. The NP-hard seat allocation of groups with minimized individual interactions between groups is solved with a genetic algorithm. Then, the improved seat allocation is used to derive an associated boarding sequence aiming at both short boarding times and a low risk of virus transmission. Our results show that the consideration of
groups will significantly contribute to a faster boarding (reduction of time by about 60%) and less transmission risk (reduced by 85%) compared to the standard random boarding procedures applied in the pandemic scenario.

KeywordsAircraft boarding
Virus transmission
COVID19 Pandemic requirements
Cabin operations
Passenger groups
Optimization model
Genetic algorithm
Article number102931
JournalTransportation Research Part C
Journal citation124
ISSN0968-090X
1879-2359
Year2021
PublisherElsevier
Accepted author manuscript
License
CC BY-NC-ND 4.0
File Access Level
Open (open metadata and files)
Digital Object Identifier (DOI)https://doi.org/10.1016/j.trc.2020.102931
Web address (URL)https://www.sciencedirect.com/science/article/pii/S0968090X20308251
Publication dates
Published in printMar 2021
Published online01 Jan 2021

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