Erwin Romero Canchanya, Brayan Frank Torres Quiñonez, Aldo Rafael Bravo Lizano

Abstract: Population growth and the increasing demand for urban mobility have led to a rise in the number of vehicles and traffic congestion in cities such as Lima, particularly at intersections in the Surco district. This situation not only causes delays but also poses risks to pedestrian safety. The current static traffic light synchronization does not adapt to variable traffic conditions, resulting in time losses and high economic costs. This study addresses the design and simulation of an adaptive traffic light system for an intersection, using VISSIM software and strategically positioning detectors in the most critical lanes. The main objective is to improve congestion indicators such as delays, queue lengths, and the level of service. The contributions include data collection of the current situation, simulation and validation of this scenario, programming of adaptive traffic lights in VisVAP, and a comparative analysis of results. The findings show considerable improvements, such as a reduction in delays between 19.0% and 23.0%, a 42.3% decrease in queue lengths, and an improvement in service levels to categories A and B, effectively eliminating the lowest service levels.

Keywords: Adaptive Traffic Lights, Traffic Congestion, Road Management, Selective Detectors, Traffic Flow.

Date Published: October 21, 2025
DOI: 10.11159/ijci.2025.017

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