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The vehicles? weight method under operation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41310%2F11%3A50640" target="_blank" >RIV/60460709:41310/11:50640 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The vehicles? weight method under operation

  • Original language description

    The article contains an example detailing the application and analysis of the preciseness of the method called continuous dynamic vehicle weighing during travel, using the telematic system. Using the input data that was obtained through laboratory experiments on a running vehicle, a model was built. This model was then used to study the effects of error probability for the measured input data on the resulting expected preciseness of vehicle weight measuring in normal running regime. Based on this point,hereby presented is a proposal of selected measured variables of great importance and a proposal for the computation relationship of the used variables. By statistical processing a set of measured data taken during one vehicle travel, it is possible toattain ?10.7% extreme relative error of the given method for the dynamic determination of vehicle weight.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JO - Land transport systems and equipment

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Neural Network World

  • ISSN

    1210-0552

  • e-ISSN

  • Volume of the periodical

    21

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    11

  • Pages from-to

    117-127

  • UT code for WoS article

  • EID of the result in the Scopus database