Bibliographic citations
Melgarejo, A., Damian, G. (2020). Caracterización de la distribución de viajes en el distrito de San Borja como plataforma de datos para futuras propuestas de gestión de tráfico [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/653001
Melgarejo, A., Damian, G. Caracterización de la distribución de viajes en el distrito de San Borja como plataforma de datos para futuras propuestas de gestión de tráfico [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2020. http://hdl.handle.net/10757/653001
@misc{renati/391672,
title = "Caracterización de la distribución de viajes en el distrito de San Borja como plataforma de datos para futuras propuestas de gestión de tráfico",
author = "Damian Delgado, George Edwar",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2020"
}
The district of San Borja is currently one of the most congested places in the province of Lima. For this reason, it is important to carry out studies that reflect the current situation of the district and, likewise, to be able to solve the points with the highest vehicular traffic. The district of San Borja does not have an updated database with this information, so this thesis proposes a database platform that identifies the main origins and destinations of the trips, obtained through surveys in the district of San Borja, which will be the study area for this investigation. This area of research has been conveniently divided into 12 zones, which has been made to coincide with the 12 sectors in which the district of San Borja is divided, in order to take advantage of the availability of data referring to this zoning. In addition, four additional external zones (made up of the remaining districts in the province of Lima) have been taken into account, that is, a total of 16 study areas. With the processed data, a current Origin Destination matrix was obtained, which was calibrated by means of two models (Gravitational and Fratar) of trip distribution, which were used for the forecast of a future scenario projected to 5 years. Previously, travel generation and attraction models were developed, which are requirements for travel distribution models.
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