Una Revisión Sistemática de Literatura de Implementaciones de Sistemas de Control de Tráfico
Resumen
La congestión vehicular es una problemática que se manifiesta frecuentemente en ciudades con alta población y puede deberse a diversos factores como la mala planificación civil o transporte público deficiente. Esto provoca un incremento en los accidentes de tránsito, la contaminación del aire, la pérdida de combustible y el descontento ciudadano. Es por ello que se considera importante la implementación de sistemas de control de tráfico que genere fluidez en el tránsito vehicular y reduzca los tiempos de viaje. Este trabajo desarrolla una revisión sistemática de literatura con el propósito de identificar los métodos, algoritmos y modelos más eficientes para la construcción de un sistema de control de tráfico. Los resultados identifican tres métodos y tres algoritmos considerados muy eficientes para el desarrollo de estos sistemas de los cuales se resaltan el filtro bayesiano y las redes neuronales convolucionales. También se demuestra que You Only Look Once conocido como YOLO es el modelo de procesamiento de imagen más eficiente para estas implementaciones.
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Última actualización: 03/05/21