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

Related outputs

A combined optimization–simulation approach for modified outside-in boarding under COVID-19 regulations including limited baggage compartment capacities
Schultz, M., Soolaki, M., Salari, M. and Bakhshian, E. 2023. A combined optimization–simulation approach for modified outside-in boarding under COVID-19 regulations including limited baggage compartment capacities. Journal of Air Transport Management. 106 102258. https://doi.org/10.1016/j.jairtraman.2022.102258

NOSTROMO - D5.2 - ATM Performance Metamodels - Final Release
Gurtner, G., Antunes, F., Tibichte, Z., Riis, C., Bolic, T., Soolaki, M. and Camara Pereira, F. 2022. NOSTROMO - D5.2 - ATM Performance Metamodels - Final Release.

Pandemiegerechte Passagierprozesse in der Flugzeugkabine
Schultz, M., Soolaki, M., Fuchte, J., Michler, O. and Schwarzbach, P. 2022. Pandemiegerechte Passagierprozesse in der Flugzeugkabine. 71. Deutscher Luft- und Raumfahrtkongress 2022. Dresden 27 Sep - 29 Dec 2022

New mathematical model for extended arrival management capabilities
Soolaki, M., Gurtner, G., Bolic, T. and Delgado, L. 2022. New mathematical model for extended arrival management capabilities. International Conference on Optimization and Decision Science. Florence, Italy 30 Aug - 02 Sep 2022

Optimized aircraft disembarkation considering COVID-19 regulations
Schultz, M. and Soolaki, M. 2022. Optimized aircraft disembarkation considering COVID-19 regulations. Transportmetrica B: Transport Dynamics. 10 (1), pp. 880-900. https://doi.org/10.1080/21680566.2021.1965051

COVID-19: Passenger Boarding and Disembarkation
Schultz, M., Soolaki, M., Bakhshian, E., Salari, M. and Fuchte, J 2021. COVID-19: Passenger Boarding and Disembarkation. Fourteenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2021). Virtual event 20 - 23 Sep 2021 Fourteenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2021).

Supply chain design considering cellular structure and alternative processing routings
Soolaki, M. and Arkat, J. 2018. Supply chain design considering cellular structure and alternative processing routings. Journal of Industrial and Systems Engineering. 11 (1), pp. 97-112.

Incorporating dynamic cellular manufacturing into strategic supply chain design
Soolaki, M. and Arkat, J. 2018. Incorporating dynamic cellular manufacturing into strategic supply chain design. International Journal of Advanced Manufacturing Technology. 95, pp. 2429-2447. https://doi.org/10.1007/s00170-017-1346-2

A new linear programming approach and genetic algorithm for solving airline boarding problem
Soolaki, M., Mahdavi, I., Mahdavi-Amiri, N, Hassanzadeh, R and Aghajani, A 2012. A new linear programming approach and genetic algorithm for solving airline boarding problem. Save. 36 (9), pp. 4060-4072. https://doi.org/10.1016/j.apm.2011.11.030

Permalink - https://westminsterresearch.westminster.ac.uk/item/vx560/analytical-approach-to-solve-the-problem-of-aircraft-passenger-boarding-during-the-coronavirus-pandemic


Share this

Usage statistics

56 total views
36 total downloads
These values cover views and downloads from WestminsterResearch and are for the period from September 2nd 2018, when this repository was created.