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

Lorenzo Cevallos-Torres; Miguel Botto-Tobar

doi:10.1007/978-3-030-13393-1_6

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

Lorenzo Cevallos-Torres, Miguel Botto-Tobar

Model Driven Software Engineering W&I

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-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 language	English
Title of host publication	Problem-based learning: A didactic strategy in the teaching of system simulation
Editors	Lorenzo Cevalles-Torres, Miguel Botto-Tobar
Publisher	Springer
Pages	97-110
Number of pages	14
ISBN (Electronic)	978-3-030-13393-1
ISBN (Print)	978-3-030-13392-4
DOIs	https://doi.org/10.1007/978-3-030-13393-1_6
Publication status	Published - 1 Jan 2019

Publication series

Name	Studies in Computational Intelligence
Volume	824
ISSN (Print)	1860-949X

Access to Document

10.1007/978-3-030-13393-1_6

Link to publication in Scopus

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Cevallos-Torres, L., & Botto-Tobar, M. (2019). Case study: Logistical behavior in the use of urban transport using the monte carlo simulation method. In L. Cevalles-Torres, & M. Botto-Tobar (Eds.), Problem-based learning: A didactic strategy in the teaching of system simulation (pp. 97-110). (Studies in Computational Intelligence; Vol. 824). Springer. https://doi.org/10.1007/978-3-030-13393-1_6

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Cevallos-Torres, L & Botto-Tobar, M 2019, Case study: Logistical behavior in the use of urban transport using the monte carlo simulation method. in L Cevalles-Torres & M Botto-Tobar (eds), Problem-based learning: A didactic strategy in the teaching of system simulation. Studies in Computational Intelligence, vol. 824, Springer, pp. 97-110. https://doi.org/10.1007/978-3-030-13393-1_6

Case study : Logistical behavior in the use of urban transport using the monte carlo simulation method. / Cevallos-Torres, Lorenzo; Botto-Tobar, Miguel.

Problem-based learning: A didactic strategy in the teaching of system simulation. ed. / Lorenzo Cevalles-Torres; Miguel Botto-Tobar. Springer, 2019. p. 97-110 (Studies in Computational Intelligence; Vol. 824).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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Cevallos-Torres L, Botto-Tobar M. Case study: Logistical behavior in the use of urban transport using the monte carlo simulation method. In Cevalles-Torres L, Botto-Tobar M, editors, Problem-based learning: A didactic strategy in the teaching of system simulation. Springer. 2019. p. 97-110. (Studies in Computational Intelligence). https://doi.org/10.1007/978-3-030-13393-1_6