Artículos
Determinación de la densidad vehicular en ciudades intermedias por medio de visión por computador
Resumen
El presente trabajo de investigación tiene por objetivo calcular mediante la utilización de visión por computador la densidad vehicular de las ciudades. Para llevar a cabo el estudio, se procedió a capturar vídeos del tráfico vehicular en 8 intersecciones de la ciudad de Loja por medio de un dron y una cámara de alta resolución. Posteriormente se utilizó el lenguaje python y la librería YOLOv8 para realizar el conteo de vehículos de diferentes categorías como son vehículos livianos, pesados y motos. Por medio de fórmulas matemáticas utilizadas en ingeniería de tráfico se obtuvieron los valores de la densidad vehicular, tasa de flujo vehicular y espaciamiento promedio. Como resultados tenemos que el modelo de aprendizaje automático utilizando YOLOv8 tiene una precisión micro del 90% en la detección y clasificación de vehículos, y gracias a su uso se identificó la vía de mayor densidad vehicular. Las aplicaciones prácticas del presente trabajo podrían mejorar el flujo vehicular y ayudar a la toma de decisiones a los organismos competentes relacionados con la gestión del tránsito.
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Referencias
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