Use of Neural Networks for Modelling of Passenger Dynamics in Airport Terminal Environment

Abstract:

Neural networks are methods inspired by animals´ central nervous systems, particularly by the human brain. As one of the modern mathematics methods, neural networks have been used to solve a wide variety of both practical and theoretical tasks. The aim of this paper is to illustrate the use of neural networks for modelling of passenger dynamics in the airport terminal environment. This model could be used for passenger flow control, since for the management to be appropriate it should involve passenger dynamics prediction for effective and accurate passenger flow modelling and simulation.

• Periodical: Applied Mechanics and Materials (Volume 708)
• Pages: 107-112
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.708.107
• Online since: December 2014
• Authors: Pavlína Hlavsová*, Jaromír Široký
• Keywords: Airport, Modeling, Neural Network (NN), Passenger Flow

References

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