Bibliographic citations
Burga-Álvarez, O., Medina, F. (2020). Evaluación de la precisión para el método de sostenibilidad en el tiempo en intersecciones urbanas [Trabajo de investigación, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/652164
Burga-Álvarez, O., Medina, F. Evaluación de la precisión para el método de sostenibilidad en el tiempo en intersecciones urbanas [Trabajo de investigación]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2020. http://hdl.handle.net/10757/652164
@misc{renati/390602,
title = "Evaluación de la precisión para el método de sostenibilidad en el tiempo en intersecciones urbanas",
author = "Medina Sánchez, Fabricio Ramiro",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2020"
}
A way to evaluate if the solutions for urban intersections are sustainable in time, is about calculating the delays for a future traffic and the present investigation establishes the accuracy of that evaluation. The vehicular delay is one of the most important parameters that is used to evaluate the performance of traffic light intersections, for this reason, professionals of transport use as traffic optimization judgment the decrease of delays. This article presents an approach to evaluate the accuracy for the sustainability method in time for urban intersections, for which this investigation analyzes the delays in one intersection for different stages. This project begins with a model of the intersection of study helped by the software Synchro 10. Then, the model will be applied for many stages where the vehicular volume will be increased depending the vehicular growth. Finally, it is proved that due to the estimated delays for each stage, it will be possible to estimate the accuracy of applying a desired solution in an intersection, that is based on the trend of percentages variation curve on time delays. In brief, the methodology could be applied in different urban intersections and stages where it is pretended to propose solutions that are sustainable over the time.
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