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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F14%3A39898329" target="_blank" >RIV/00216275:25510/14:39898329 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.4028/www.scientific.net/AMM.708.107" target="_blank" >http://dx.doi.org/10.4028/www.scientific.net/AMM.708.107</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.4028/www.scientific.net/AMM.708.107" target="_blank" >10.4028/www.scientific.net/AMM.708.107</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JO - Land transport systems and equipment

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Logistics Development

  • ISBN

    978-3-03835-347-8

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    107-112

  • Publisher name

    Trans Tech Publications

  • Place of publication

    Zürich - Uetikon

  • Event location

    Podbanské

  • Event date

    Sep 24, 2014

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article