Bibliographic citations
Fernandez, A., Meza, D. (2024). Rediseño de la infraestructura vial en la intersección de la Av. Próceres de la Independencia y la Av. Los Jardines – San Juan de Lurigancho – Lima para mejorar la seguridad peatonal [Trabajo de Suficiencia Profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/674261
Fernandez, A., Meza, D. Rediseño de la infraestructura vial en la intersección de la Av. Próceres de la Independencia y la Av. Los Jardines – San Juan de Lurigancho – Lima para mejorar la seguridad peatonal [Trabajo de Suficiencia Profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2024. http://hdl.handle.net/10757/674261
@misc{renati/418761,
title = "Rediseño de la infraestructura vial en la intersección de la Av. Próceres de la Independencia y la Av. Los Jardines – San Juan de Lurigancho – Lima para mejorar la seguridad peatonal",
author = "Meza Mayhuire, David Jesus",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2024"
}
Currently, the road infrastructure in many districts of Lima lacks essential signage for drivers and pedestrians, proper maintenance of road markings and safe pedestrian areas, resulting in a high number of daily accidents, with pedestrians facing the greatest risk. Our research aims to significantly improve pedestrian safety at the intersection of Av. Próceres de la Independencia and Av. Los Jardines in San Juan de Lurigancho. We used ViDA-iRAP software to evaluate pedestrian safety and proposed improvements such as narrowing lanes, improving asphalt pavement, and strategically installing pedestrian barriers based on our findings. In addition, drone data collection and field visits were used to validate and calibrate the current situation and the proposal. The construction of the microsimulation model aims to effectively represent the relevant issues. This involves modeling pedestrian routes, pedestrian crossing behaviors, informal bus stops, key conflict points, and the presence of street vendors as obstacles to test traffic conditions, vehicle flow, and vehicle- pedestrian conflicts. Subsequently, alternative improvement options were evaluated to reduce the conflict points. Using the iRAP simulation, a 3-star increase in safety rating was achieved, with 1 star in the current situation and 4 stars in the proposed scenario. Finally, the model is developed in PTV Vissim with relevant optimization of vehicle and pedestrian flow, resulting in a 38% reduction in pedestrian density compared to the current situation.
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