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 -