Detección de baches y su severidad usando el Video VBOX Lite y teléfonos inteligentes

Yasmany García-Ramírez; Fernando García; Vicente Quinche; Wilman Maygua

doi:10.22206/cyap.2022.v5i1.pp77-107

Detección de baches y su severidad usando el Video VBOX Lite y teléfonos inteligentes


Issue	Vol. 5 Núm. 1 (2022): Ciencia, Ingenierías y Aplicaciones
DOI	10.22206/cyap.2022.v5i1.pp77-107
Publicado	jun 30, 2022
	Estadísticas

Universidad Técnica Particular de Loja (UTPL). Loja, Ecuador

ydgarcia1@utpl.edu.ec

https://orcid.org/0000-0002-0250-5155

Universidad Técnica Particular de Loja (UTPL). Loja, Ecuador

fdgarcia2@utpl.edu.ec

Universidad Técnica Particular de Loja (UTPL). Loja, Ecuador

vdquinche@utpl.edu.ec

Universidad Técnica Particular de Loja (UTPL). Loja, Ecuador

wamaygua@utpl.edu.ec

Resumen

Los baches son un problema común en pavimentos deteriorados. Estos desniveles disminuyen la comodidad de conducción y pueden llegar a causar siniestros viales. El geolocalizar los baches y su grado severidad permitirán a los usuarios ajustar su velocidad y trayectoria en la vía deteriorada. Además, las entidades del Estado pueden planificar las intervenciones de mantenimiento en los sitios con más deterioro. Esto se podría resolver utilizando sensores como los que tienen los teléfonos celulares o el Video VBOX Lite, que tiene mayor precisión. La información recolectada por estos equipos por sí sola, no permite la geolocalización del bache o determinar su severidad; es necesario entender, procesar y evaluar esos datos para lograrlo. Por lo tanto, el objetivo de este estudio es proponer un procedimiento para detectar baches y su severidad usando el Video VBOX Lite y dos teléfonos inteligentes. Para ello, la recolección de datos se hizo en dos fases. En la fase 1, se recolectaron los baches de manera manual (posición, profundidad y diámetro). Mientras que en la fase 2 se recolectaron los datos de los sensores de los equipos colocados en un vehículo liviano. Se circuló a velocidades entre 20 a 50 km/h. Basado en estos datos, se propuso dos procedimientos uno para el Video VBOX Lite y otro para los teléfonos celulares. La precisión de los procedimientos llegó a detectar entre 71-90 % de los baches. Este procedimiento se puede adaptar como crowdsourcing para generar datos de las redes viales locales.

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Yasmany García-Ramírez
Universidad Técnica Particular de Loja (UTPL). Loja, Ecuador

Fernando García
Universidad Técnica Particular de Loja (UTPL). Loja, Ecuador

Vicente Quinche
Universidad Técnica Particular de Loja (UTPL). Loja, Ecuador

Wilman Maygua
Universidad Técnica Particular de Loja (UTPL). Loja, Ecuador

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García-Ramírez, Y., García, F., Quinche, V., & Maygua, W. (2022). Detección de baches y su severidad usando el Video VBOX Lite y teléfonos inteligentes. Ciencia, Ingenierías Y Aplicaciones, 5(1), 77–107. https://doi.org/10.22206/cyap.2022.v5i1.pp77-107

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