POSSIBILITY OF USING NEURAL NETWORKS FOR MODELLING THE PASSENGER DYNAMICS INSIDE THE AIRPORT TERMINAL
Keywords:
neural networks, airport terminal, passenger flowAbstract
The number of titles focusing on the neural networks is still increasing, and so is the importance of neural networks usage in both technical and non-technical practice. The aim of this paper is to illustrate the usage of neural networks for passenger flow modelling in the airport terminal environment. It demonstrates the impacts of some passenger features on pedestrian dynamics in the terminal. This model could be used in airport passenger flow management, where the accurate prediction of passenger dynamics is necessary.
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References
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Žiline / EDIS vydaveľstvo ŽU, 2006.
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(3) SCHULZ, M., FRICKE, H., Passenger Dynamics at Airport Terminal Environment, Dresden:
Technische Universität Dresden, 2010.
(4) Simulation of the Frankfurt Airport. In: [online]. [cit. 2014-05-09]. Dostupné z:
http://www.anylogic.com/case-studies/simulation-of-the-frankfurt-airport.
Žiline / EDIS vydaveľstvo ŽU, 2006.
(2) OLEJ, V., HÁJEK, P. Úvod do umělé inteligence. Moderní přístupy.. Univerzita Pardubice,
2010. ISBN 978-80-7395-307-2.
(3) SCHULZ, M., FRICKE, H., Passenger Dynamics at Airport Terminal Environment, Dresden:
Technische Universität Dresden, 2010.
(4) Simulation of the Frankfurt Airport. In: [online]. [cit. 2014-05-09]. Dostupné z:
http://www.anylogic.com/case-studies/simulation-of-the-frankfurt-airport.
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Published
2014-11-04
How to Cite
Hlavsová, P. (2014). POSSIBILITY OF USING NEURAL NETWORKS FOR MODELLING THE PASSENGER DYNAMICS INSIDE THE AIRPORT TERMINAL. Perner’s Contacts, 9(3), 54–62. Retrieved from https://pernerscontacts.upce.cz/index.php/perner/article/view/645
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Copyright (c) 2020 Pavlína Hlavsová
This work is licensed under a Creative Commons Attribution 4.0 International License.
