Case study: Logistical behavior in the use of urban transport using the monte carlo simulation method

Lorenzo Cevallos-Torres, Miguel Botto-Tobar

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureHoofdstukAcademicpeer review

    3 Citaten (Scopus)

    Samenvatting

    This study presents a proposal to determine solutions to the models of queue theory through the use of simulation. The main objective is to evaluate the number of people who arrive at a public transport service station in order to be able to minimize monetary losses, the product of the defection of the people of the waiting line of this station. To evaluate the model, we proceeded to use tools that allow simulating random values based on probability distributions; such as the Log-Normal probability distribution, and the Binomial distribution.

    Originele taal-2Engels
    TitelProblem-based learning: A didactic strategy in the teaching of system simulation
    RedacteurenLorenzo Cevalles-Torres, Miguel Botto-Tobar
    UitgeverijSpringer
    Pagina's97-110
    Aantal pagina's14
    ISBN van elektronische versie978-3-030-13393-1
    ISBN van geprinte versie978-3-030-13392-4
    DOI's
    StatusGepubliceerd - 1 jan. 2019

    Publicatie series

    NaamStudies in Computational Intelligence
    Volume824
    ISSN van geprinte versie1860-949X

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