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Modelling the driving speed on expressway ramps based on floating car data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F22%3A73614893" target="_blank" >RIV/61989592:15310/22:73614893 - isvavai.cz</a>

  • Alternative codes found

    RIV/44994575:_____/22:N0000046

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0263224122002676" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0263224122002676</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.measurement.2022.110995" target="_blank" >10.1016/j.measurement.2022.110995</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modelling the driving speed on expressway ramps based on floating car data

  • Original language description

    Driving speed is one of the key concepts and risk factors in transportation research. The insights into operational and safety aspects of driving can be provided by floating car data (FCD), collecting information about speed, position and time by vehicles themselves. FCD are often recorded at high frequency, representing a continuous phenomenon. As such, convenient approach can be functional data analysis (FDA). Speed trajectories are investigated, identifying sections with rapid changes of speed and sections where drives in central and auxiliary lanes cannot be distinguished in terms of their speed. The effect of curvature and auxiliary lanes on driving speed was shown by functional regression models. Significant influence of road shape on speed was found for ramps with complex shape. The accuracy of regression models was assessed by RMSE, NRMSE, and precision of estimators by point-wise confidence intervals. The analysis was performed on an expressway interchange in Brno, Czech Republic.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    MEASUREMENT

  • ISSN

    0263-2241

  • e-ISSN

    1873-412X

  • Volume of the periodical

    195

  • Issue of the periodical within the volume

    MAY

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    16

  • Pages from-to

    "110995-1"-"110995-16"

  • UT code for WoS article

    000793611500001

  • EID of the result in the Scopus database

    2-s2.0-85128193433