Implementation of Adaptive Traffic Lights to Reduce Traffic Congestion at Intersections through Efficient Strategies for Selective Use of Detectors

• Autores: Erwin Romero, R., Brayan Torres, Q., Aldo Bravo, L.
• Formato: artículo
• Fecha de Publicación: 2025
• Institución: Universidad Peruana de Ciencias Aplicadas
• Repositorio: UPC-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorioacademico.upc.edu.pe:10757/688481
• Enlace del recurso: https://doi.org/10.11159/iccste25.166; http://hdl.handle.net/10757/688481
• Nivel de acceso: acceso abierto
• Materia: Adaptive Traffic Lights; Road Management; Selective Detectors; Traffic Congestion; Traffic Fluidity; https://purl.org/pe-repo/ocde/ford#2.00.00

The increase in traffic congestion at urban intersections, particularly in Lima, reflects the need for dynamic solutions in traffic management. This study proposes an adaptive traffic light system designed and simulated in VISSIM, using selective detectors strategically placed in the most congested lanes. The methodology included calibration and validation of models based on real data, development of adaptive algorithms in VisVAP, and simulation of scenarios. The results demonstrated an average 20% reduction in delays, a 42% decrease in queue length, and an improvement in the level of service, eliminating the lowest performance categories. This adaptive and efficient approach can be replicated in other cities to optimize urban mobility and reduce costs associated with congestion.