Citas bibligráficas
Barreto, N., Ramirez, A. (2020). Optimización del sistema operacional de una línea expresa mediante el uso de datos de embarque y desembarque ante la alta demanda de viajes en hora punta de 5 a 8pm en el Metropolitano (Lima, Perú) [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/652337
Barreto, N., Ramirez, A. Optimización del sistema operacional de una línea expresa mediante el uso de datos de embarque y desembarque ante la alta demanda de viajes en hora punta de 5 a 8pm en el Metropolitano (Lima, Perú) [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2020. http://hdl.handle.net/10757/652337
@misc{renati/1287626,
title = "Optimización del sistema operacional de una línea expresa mediante el uso de datos de embarque y desembarque ante la alta demanda de viajes en hora punta de 5 a 8pm en el Metropolitano (Lima, Perú)",
author = "Ramirez Gaviria, Alberto Alejandro",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2020"
}
The present investigation models the BRT Metropolitano system through the use of TransCAD software. For the proper construction of the destination origin matrix, embarkation and disembarkation data must be collected in the different stops of the system. That is why the sample of surveys is calculated through data provided by Protransporte, the company that manages the Metropolitano. In the information provided, atypical days were excluded where 1,032 surveys were obtained with a 95% reliability and an error of 4.2%. Then, the expansion factor is used to obtain the current situation with a total of 53,776 users traveling in the most critical time of the afternoon from 6 to 7pm. Likewise, the OD matrix is inserted as a previous step to the travel assignment using the stochastic user equilibrium method (SUE), in which a first calibration of the current situation will be obtained. Subsequently, the most optimal scenario is proposed based on the calculation of the maximum loads with the use of spreadsheets. In addition, new parameters such as frequencies, bus numbers, total travel time, and various others are obtained. Finally, the results of the proposed scenario and the current one were compared, where benefits for the operator and the users of the system are observed. Since the proposal has a saving of 7,154.26 minutes of total travel time per hour, the operation of the system with fifteen fewer buses and a passenger index per kilometer traveled (IPK) five points more than the current one.
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