Bibliographic citations
Campomanes, A., López, J. (2019). Reducción de la congestión vehicular a través de la implementación de la Ola Verde en la Av. Caminos del Inca en el tramo comprendido entre Jr. Batallón Callao Norte y Jr. Cádiz en el distrito de Surco [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/626381
Campomanes, A., López, J. Reducción de la congestión vehicular a través de la implementación de la Ola Verde en la Av. Caminos del Inca en el tramo comprendido entre Jr. Batallón Callao Norte y Jr. Cádiz en el distrito de Surco [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2019. http://hdl.handle.net/10757/626381
@misc{sunedu/3008900,
title = "Reducción de la congestión vehicular a través de la implementación de la Ola Verde en la Av. Caminos del Inca en el tramo comprendido entre Jr. Batallón Callao Norte y Jr. Cádiz en el distrito de Surco",
author = "López Olivera, Joel Moisés",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2019"
}
Traffic congestion is one of the most acute problems in the city of Lima. This problem is reflected in almost all the streets and main avenues of the city, due to factors such as the increase in the vehicle fleet that collapses the capacity of the road infrastructure and leaves the traffic management for which it was designed in disuse; In other words, the increase in the flow of vehicles causes great congestion, long queues of vehicles, prolonged delays and poor service levels. The study area to be treated is in the district of Surco and the intervened road is the Caminos del Inca avenue in the stretch from Batallón Callao street to Cádiz street crossing important avenues such as Velazco Astete and Higuereta. This is one of most heavily traveled avenue in the district of Surco because of the shopping centers, institutes, universities, among others, that are close to this important traffic artery. Therefore, this thesis work has as main objective to reduce the vehicular congestion of this avenue and improve the service levels of its intersections with the implementation of the green wave through modeling and simulation in the Synchro 8 software. For the elaboration of this research work, field data were collected, such as the vehicle capacity to determine the peak hour and the hourly volume of maximum vehicular demand, as well as the measurement of the traffic light cycles and their faces in a typical day of the week. With all this data compiled in the field work, saturation degrees and current service levels were obtained so that later they can be evaluated in order to implement the green wave and optimize traffic. Finally, with the implementation of the green wave and traffic management modifications, notable improvements were obtained such as optimization of service levels at intersections, for example, at intersection No. 01 it went from C to B, at No. 02 from F to D, in No. 03 from C to B and in No. 04 from C to B; in the same way, the travel time from an extreme point, intersection No. 01, to the other, Intersection No. 04, improved considerably from 6 minutes and 30 seconds approximately to 1 minute and 28 seconds due to the progressive synchronization of the green colour of the traffic lights in each intersection.
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