Vehicle counting system for pavement damage evaluation

Nataly Cecilia Perez-Curi, Diego Antony Chanco-Vila, Rosali Ramos-Rojas, Ivan Llactahuaman-Rodriguez, Jhon Rodrigo Ortiz-Zacarias, Sliver Ivan Del Carpio-Ramirez, Roberto Carlos Castillo-Velarde

Producción científica: Libro o Capítulo del libro Contribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

The rapid growth of vehicular flow of light and heavy vehicles increased by 7.2% with respect to the year 2021, consequently the damage on the pavement increases if a proper vehicle count is not performed. This work develops the vehicle counting and classification of vehicles through a simulation which is controlled by an HMI and then evaluate the damage caused on the pavement by the type of vehicle axle through the ESAL. For the simulation of the automatic vehicle counting, we used the Factory IO and TIA Portal software where we have a vision sensor that sends to the interactive screen of the HMI, to then evaluate the damage caused on the pavements through the ESAL. Obtaining that in the simulations of 5 minutes, 6 minutes, 10 minutes for the vehicle count and its classification of round trip in the lanes of the road was obtained an efficiency of 100%, which allowed to determine that the buses are the vehicles that represent more damage in a round trip road.

Idioma originalInglés estadounidense
Título de la publicación alojadaProceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas189-195
-7
ISBN (versión digital)9798350346572
DOI
EstadoIndizado - 2022
Evento2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022 - Virtual, Online, China
Duración: 16 dic. 202218 dic. 2022

Serie de la publicación

NombreProceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022

Conferencia

Conferencia2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022
País/TerritorioChina
CiudadVirtual, Online
Período16/12/2218/12/22

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© 2022 IEEE.

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