Analysis of Conflicts and Delays of Cyclists, Vehicles, and Pedestrians at a Busy Intersection in Lima Downtown, Peru

Descripción del Articulo

In Lima downtown, highly congested intersections with many cyclists and pedestrians can be observed, where conflicts are very common. Therefore, it is important to reduce conflicts to improve the mobility of all users at intersections. At the intersection of Garcilaso de la Vega and 9 de Diciembre a...

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Detalles Bibliográficos
Autores: Silva, Jose, Barua, Vera, Silvera, Manuel, Campos, Fernando
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/673034
Enlace del recurso:http://hdl.handle.net/10757/673034
Nivel de acceso:acceso embargado
Materia:adaptive traffic light
crossing delays
crossing routes
cycle lane
intersection
traffic conflicts
Descripción
Sumario:In Lima downtown, highly congested intersections with many cyclists and pedestrians can be observed, where conflicts are very common. Therefore, it is important to reduce conflicts to improve the mobility of all users at intersections. At the intersection of Garcilaso de la Vega and 9 de Diciembre avenues, located in the center of Lima, the behavior of the users was observed, especially that of the cyclists, where the spontaneous routes they have adapted to cross the intersection more quickly were visualized. In this study, two scenarios were evaluated: The first scenario used the current fixed traffic light cycle as the geometry of the location, and it also represented how cyclists cross through unplanned routes. In contrast, the second scenario involved adaptive traffic lights and formalized two routes for cyclists, allowing them to choose more than one alternative depending on the phase they are in when crossing the intersection. The Vissim software was used for modeling, and the SSAM methodology was employed for comparison, which counted the number of conflicts. As a result, the second scenario showed 18% fewer conflicts among users. Additionally, cyclists experienced 18% less delay.
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