A novel validation approach for validating the simulation model of a passengers' airport terminal: case study Palma de Mallorca airport
- a Paolo Scala ,
- b Miguel Mujica Mota,
- c Juan Blasco-Puyuelo,
- d Olivia Garcia-Cantu,
- e Carlos Blasco
- a Amsterdam School of International Business-Amsterdam University of Applied Sciences, Fraijlemaborg 133, Amsterdam, 1102CV, The Netherlands
- b Aviation Academy-Amsterdam University of Applied Sciences, Weesperzijde 190, Amsterdam, 1097DZ, The Netherlands
- c,d,e Nommon Solutions and Technologies, Pl. de Carlos Trias Bertran 4, Madrid, 28020, Spain
Cite as
Scala P., Mujica M., Blasco-Puyuelo J., Garcia-Cantu O., and Blasco C. (2022).,A novel validation approach for validating the simulation model of a passengers' airport terminal: case study Palma de Mallorca airport. Proceedings of the 34th European Modeling & Simulation Symposium (EMSS 2022). , 012 . DOI: https://doi.org/10.46354/i3m.2022.emss.012
Abstract
In this paper we propose a novel approach for validating a simulation model for a passengers' airport terminal. The validation approach is based on a "historical data" and "model-to-model" validation approach, and the novelty is represented by the fact that the model used as comparison uses historical data from different data sources and technologies. The proposed validation approach , which is presented as part of the IMHOTEP project, implements various data fusion and data analytics methods to generate the passenger "Activity-Travel-Diary", which is the model that is then compared with the results from the simulation model. The data used for developing the "Activity-Travel-Diary" comes from different sources and technologies such as: passengers’ data (personal mobile phone, apps), airport data (airport Wi-Fi, GPS, scanning facilities), and flight Information (flight schedules, gate allocation etc.). The simulation model is based on an agent-based simulation paradigm and includes all the passengers flows and operations within a terminal airport. The proposed validation approach is implemented in a real-life case study, Palma de Mallorca Airport. A statistical and visual validation process was conducted, showing that the simulation model was accurately representing the different areas of the airport terminal, when compared to the “Activity-Trave-Diary” model.
References
- ARC, 2022.Accessed online:https://arc.de/cast-simulation- software/cast-terminal-simulation/
- Burrieza-Galán,J., Jordá, R., Gregg, A., Ruiz, P., Rodríguez,
- R., Sala, M. J., ...&Herranz, R. (2022). A methodology forunderstanding passenger flows combining mobile phonerecords and airport surveys: Application to Madrid-Barajas Airport after the COVID-19 outbreak.Journal ofAir Transport Management,100,102163.
- FederalHighway Administration, 2014.A primer for agent-based simulation andmodeling intransportationapplications. The Exploratory advanced researchprogram. US department of Transportation.
- Gregg, A., Blasco-Puyuelo, J.,Jorda-Munoz,R.,Martin-Martines, I., 2022.Airport accessibility surveys andmobile phone records data fusion for the analysis of airtravel behaviour.12th International Conference onTransport Survey Methods,20-25March,Porto NovoBeach,Portugal.
- Hora, J., Campos, P., 2015. A review ofperformance criteriatovalidate simulation models. Expert Systems,Vol. 32,No.5,pp.578-595.
- Kleijnen, J.P.C., 1995. Verificationand validation ofsimulationmodels. European Journal of OperationsResearch, Vol. 82, pp. 45-162.
- Mujica, M.,Scala, P.,Schultz, M., Lubig, D.,Luo, M.,JimenezPerez, E.,2021.The rise of thesmart passenger:analyss ofimpact in airport terminals, in theProceedings of theSesar Innovation DaysConference, 7-9 December,online.
- Ni, D.,Leonard,J.D.,Guin, A.,Williams, B.M., 2004.Systematic approach for validating traffic simulationmodels. Transportationresearchrecords: Journal of theTransportationresearchBoard,No. 1876,pp. 20-31.
- Pace,D.K.,2004.Modelingandsimulationverification andvalidationchallenges.John HopkinsAPLTechnicalDigest, Vol. 25,No. 4,pp.163-172.
- Rebba,R., Huang, S.,Liu,Y.,Mahadevan, S., 2006. Statisticalvalidation of simulation models. Int. J. ofMaterials andProduct Technology, Vol,25, pp. 164-181.
- Rehman,M., Pedersen, S.A., 2012.Validationof simulationmodels.Journal of Experimental ArtificialIntelligence,Vol. 24, No. 3, pp. 351-363
- Sargent, R.G.,verification and validation of simulationmodels. Journal of Simulation, Vol.7, No.1, pp. 12-24.
- Zeigler, B.P., Muzy, A., Kofman, E.,2019.Thetheory ofmodeling and simulation: discrete event and iterativesystem computational foundations. AcademicPress,Elsevier(3rdedition), London, UK.
- Xiang, X., Kennedy, R., Madey, G., Cabaniss, S., 2005.Verification and validation of agent-based scientificsimulation models.Agent-DirectedSimulationConference, April3-7,2005, San Diego,CA.
Volume Details
Volume Title
Proceedings of the 34th European Modeling & Simulation Symposium (EMSS 2022)
Conference Location and Date
Rome, Italy
September 19-21, 2022
Conference ISSN
2724-0029
Volume ISBN
978-88-85741-72-0
Volume Editors
Michael Affenzeller
Upper Austria University of Applied Sciences, Austria
Agostino G. Bruzzone
MITIM-DIME, University of Genoa, Italy
Emilio Jimenez
University of La Rioja, Spain
Francesco Longo
University of Calabria, Italy
Antonella Petrillo
Parthenope University of Naples, Italy
EMSS 2022 Board
Francesco Longo
EMSS General Co-Chair
University of Calabria, Italy
Emilio Jimenez
EMSS General Co-Chair
University of La Rioja, Spain
Michael Affenzeller
EMSS Program Co-Chair
Upper Austria University of Applied Sciences, Austria
Antonella Petrillo
EMSS Program Co-Chair
Parthenope University of Naples, Italy
Copyright
© 2022 The Authors. The articles are open access and distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) license.