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

Research output: Chapter in Book/ReportConference contributionpeer-review

1 Scopus citations

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.

Original languageAmerican English
Title of host publicationProceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages189-195
Number of pages7
ISBN (Electronic)9798350346572
DOIs
StateIndexed - 2022
Event2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022 - Virtual, Online, China
Duration: 16 Dec 202218 Dec 2022

Publication series

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

Conference

Conference2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022
Country/TerritoryChina
CityVirtual, Online
Period16/12/2218/12/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Automation
  • ESAL
  • Factory IO
  • Pavement damage
  • Vehicle count

Fingerprint

Dive into the research topics of 'Vehicle counting system for pavement damage evaluation'. Together they form a unique fingerprint.

Cite this