WIM Research and Standardization in Brazil
At the beginning of 2023 CAMEA set up its first WIM system together with LabTrans at the Federal University of Santa Catarina at the research site on the BR-101 highway, near the city of Araranguá in Santa Catarina, Brazil.
Strategic Objectives for Latin America
This research site is a reference in studies with WIM systems for Brazil and Latin America, it was conducted by the concessionaire CCR-Via Costeria, with the objectives of:
- SUBSIDIZING THE NATIONAL AGENCY OF LAND TRANSPORTATION (ANTT) WITH INFORMATION TO PROMOTE CHANGES IN PUBLIC POLICIES TO COMBAT TRANSPORT WITH EXCESS CARGO ON BRAZILIAN HIGHWAYS
- to open THE CHALLENGES FOR THE IMPLEMENTATION OF HS-WIM SYSTEMS FOR DIRECT ENFORCEMENT AND OTHER APPLICATIONS
Layout Innovation and Standardization
The research project aims to propose the creation of standards (or the review of existing standards) through studies on sensor technologies, systems, and aspects of road operation related to automated monitoring and also to promote the development and modernization of the levels of intelligence of the processes currently in place.
- THE CAMEA HS-WIM SITE USES 6 TOTAL SENSORS (4 SENSORS + 2 TILTED FOR VEHICLE POSITION) PER LANE. THE SAME SETUP WITH WHICH CAMEA RECEIVED THE OIML 10F CERTIFICATION IN 2023
Accuracy and Performance Results
Great results have been immediately achieved in terms of weighing accuracy, which falls in the INMETRO 3C class (equivalent to COST 323 A5 or OIML 10F), i.e., the requirements for type approval test for direct enforcement, at speeds up to 90 km/h. The in-service category falls within the Class 1A. Moreover, the testing procedure surpassed the prescribed standards set by INMETRO, employing a more rigorous protocol. The assessment encompassed three vehicles, spanning various speed levels, and multiple lateral positions.
- THE SYSTEM ACHIEVES THE RIGOROUS REQUIREMENTS FOR DIRECT ENFORCEMENT TYPE APPROVAL AT SPEEDS REACHING UP TO 90 KM/H
The vehicle classification also has excellent results and will serve as a comparison for the upcoming project for non-intrusive free-flow classification, axle counting, and lifted axle detection.