Bibliographic citations
Hernandez, J., (2023). Influencia de la información de la plataforma Big Data del ATU para la mejora del tiempo de espera de pasajeros de las rutas expreso del metropolitano entre Miraflores y Surquillo, Lima 2023 [Tesis, Universidad Privada del Norte]. https://hdl.handle.net/11537/35363
Hernandez, J., Influencia de la información de la plataforma Big Data del ATU para la mejora del tiempo de espera de pasajeros de las rutas expreso del metropolitano entre Miraflores y Surquillo, Lima 2023 [Tesis]. PE: Universidad Privada del Norte; 2023. https://hdl.handle.net/11537/35363
@misc{renati/525627,
title = "Influencia de la información de la plataforma Big Data del ATU para la mejora del tiempo de espera de pasajeros de las rutas expreso del metropolitano entre Miraflores y Surquillo, Lima 2023",
author = "Hernandez Galarreta, Jose Guillermo",
publisher = "Universidad Privada del Norte",
year = "2023"
}
The present investigation tries to solve the problem of transportation in Metropolitan Lima, the present exam models the framework of the Metropolitan BRT using TransCAD programming. For the proper development of the objective start framework, embarkation and disembarkation information must be collected at the different stops of the framework, through the Big Data of the ATU. For the design of the proposal, the example of the studies determined through the information provided by the Big Data of the ATU and Protransporte, the body that deals with the Metropolitan, was used. In the data provided, the years of the pandemic were excluded, due to the exceptionality that it entailed, obtaining 1,032 revisions with a reliability of 95% and an error of 4.2%. To obtain the result, the development factor was used to obtain what happens with a sum of 53,776 travelers who go to the busiest Metropolitan station between the districts of Miraflores and Surquillo, in the afternoon, from 6 to 7 As a result, it was obtained that by adding a proposed express route, a total of 7,154.26 minutes of transport for passengers were saved, with which, on average per trip, 0.46 minutes were saved per passenger, which implies a saving in the value social transport of S/.1,757,801.01 per year, reducing the total number of current buses from 322 to 307, with the consequent economic benefit that this entails. In conclusion, the consequences of the proposed and current situation were examined, where benefits are observed for the metropolitan and transportation customers. Given that the proposal has a saving of 7,154.26 minutes of travel time each hour, the activity of the framework with fifteen fewer transports and one traveler file for each kilometer traveled (IPK) obtains a benefit five times more than the current one.
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