Bibliographic citations
Salazar, E., Mendoza, S. (2022). Propuesta de mejora de la seguridad vial de la intersección de la Av. Garcilaso y Av. Bolivia aplicando el Sistema de Información Geográfica y el Manual de Seguridad Vial en el distrito de Cercado de Lima Perú [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/659711
Salazar, E., Mendoza, S. Propuesta de mejora de la seguridad vial de la intersección de la Av. Garcilaso y Av. Bolivia aplicando el Sistema de Información Geográfica y el Manual de Seguridad Vial en el distrito de Cercado de Lima Perú [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2022. http://hdl.handle.net/10757/659711
@misc{renati/399201,
title = "Propuesta de mejora de la seguridad vial de la intersección de la Av. Garcilaso y Av. Bolivia aplicando el Sistema de Información Geográfica y el Manual de Seguridad Vial en el distrito de Cercado de Lima Perú",
author = "Mendoza Bustinza, Sebastian Octavio",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2022"
}
Currently, road traffic injuries are a public health problem worldwide. Although roads are designed according to the requirements of a geometric design manual, this does not guarantee that they are safe. Therefore, road infrastructure improvement projects should be established to reduce the factors that contribute to the generation of accidents. In this sense, this study uses the methodology of the Road Safety Manual (RSM) to suggest road infrastructure proposals, analyze their impact and determine where their implementation is necessary and urgent. In this research, data on accidents occurred in the jurisdiction of the Alfonso Ugarte Police Station in Lima was collected, a georeferenced map of traffic accidents was created, and the intersection of Garcilaso de la Vega Avenue and Bolivia Avenue was identified as the intersection with the highest accident rate through the Geographic Information System of the ArcGIS program. Then, the number of accidents generated by an intersection due to its geometric characteristics, AADT, traffic control system, environment characteristics, etc. were estimated. Based on this, the number of expected accidents was calculated by the HSM method, as well as the predicted average total crash frequency by Bayes adjustment. Also, road safety projects were proposed and prioritized in economic terms and in terms of accident reduction. Finally, suggestions were made for future research on this methodology, which is not well known in Peru, but which is fundamental in the stages of road infrastructure projects as a tool to quantitatively characterize road safety and to emphasize road safety prevention.
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