Abstract
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.
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