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Selecting explanatory variables for passenger demand model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F20%3A00342378" target="_blank" >RIV/68407700:21260/20:00342378 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/SCSP49987.2020.9133993" target="_blank" >https://doi.org/10.1109/SCSP49987.2020.9133993</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SCSP49987.2020.9133993" target="_blank" >10.1109/SCSP49987.2020.9133993</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Selecting explanatory variables for passenger demand model

  • Original language description

    This paper deals with identifying suitable variables for passenger demand prediction. Based on a data set from real tram network, a correlation analysis of candidates for explanatory variables was made against the number of boarding and disembarking passengers at selected stops. Apart from the dependence between the output and explanatory variables, the correlation analysis was also made between explanatory variables themselves. Moreover, because tram network consists of multiple stops and lines, the correlation analysis of the same variable at neighbouring stops was also performed.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2020 Smart City Symposium Prague

  • ISBN

    978-1-7281-6821-0

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

  • Publisher name

    IEEE Press

  • Place of publication

    New York

  • Event location

    Prague

  • Event date

    Jun 25, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article