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

Uittreksel

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

Vingerafdruk

Probability distributions
Filling stations
Monte Carlo simulation

Citeer dit

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureHoofdstukAcademicpeer 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, redacteurs, Problem-based learning: A didactic strategy in the teaching of system simulation. Springer. 2019. blz. 97-110. (Studies in Computational Intelligence). https://doi.org/10.1007/978-3-030-13393-1_6