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Modelling of Traffic Intensities

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F10%3A00176351" target="_blank" >RIV/68407700:21340/10:00176351 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985556:_____/10:00348647 RIV/68407700:21260/10:00176351

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modelling of Traffic Intensities

  • Original language description

    The paper concerns the Bayesian modelling of tra c intensities measured in towns and cities. It proposes the use of a normal regressive model of low order, whose parameters (regression coe cients) are estimated using partial forgetting. This method allows to track the time varying parameters and respects the dierent variability rate of the absolute term modelling the mean value. The general theoretical concept of Bayesian modelling and parameter estimation is complemented with the theory related to thenormal model in lieu.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 18th Annual Conference Technical Computing Bratislava

  • ISBN

    978-80-970519-0-7

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

  • Publisher name

    Systémy priemyselnej informatiky s.r.o.

  • Place of publication

    Bratislava

  • Event location

    Bratislava

  • Event date

    Oct 20, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article