TY - CHAP

T1 - Case study

T2 - Logistical behavior in the use of urban transport using the monte carlo simulation method

AU - Cevallos-Torres, Lorenzo

AU - Botto-Tobar, Miguel

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85063135970&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-13393-1_6

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

M3 - Chapter

AN - SCOPUS:85063135970

SN - 978-3-030-13392-4

T3 - Studies in Computational Intelligence

SP - 97

EP - 110

BT - Problem-based learning: A didactic strategy in the teaching of system simulation

A2 - Cevalles-Torres, Lorenzo

A2 - Botto-Tobar, Miguel

PB - Springer

ER -