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

Lorenzo Cevallos-Torres, Miguel Botto-Tobar

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    Abstract

    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.

    Original languageEnglish
    Title of host publicationProblem-based learning: A didactic strategy in the teaching of system simulation
    EditorsLorenzo Cevalles-Torres, Miguel Botto-Tobar
    PublisherSpringer
    Pages97-110
    Number of pages14
    ISBN (Electronic)978-3-030-13393-1
    ISBN (Print)978-3-030-13392-4
    DOIs
    Publication statusPublished - 1 Jan 2019

    Publication series

    NameStudies in Computational Intelligence
    Volume824
    ISSN (Print)1860-949X

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