Statistical Analysis of the AIGLE 3D Crossover Trial Campaign: Experimental Design, Methods and Results

These ever-increasing needs for road maintenance and the willingness to optimise its maintenance works with a long-term approach leads Cerema to develop new tools and methods for road survey. Based on Pavemetrics Laser Crack Measurement System (LCMS) sensors and a precise GNSS localization system, Cerema has designed two new inspection vehicles called AIGLE 3D. To make the measurements campaign more reliable, we implemented an optimized organization and significant improvements such as remote maintenance and a merged tool controlling all sensors in vehicles. Pavemetrics, a partner of Cerema, developed the LCMS system and new 3D functionalities allowing measurements up to 130 km/h. LCMS sensors can measure the roadway with an accuracy of 1 mm in the directions of the roadway and 0.5 mm in height up to a speed of 130 km/h. This set (LCMS sensors, localization) provide a 3D model of the road surface instead of considering it as a single wire. Thus, we obtain a true representation of the data collected with the system. The data processing system developed at Cerema makes it possible to precisely geo-locate all degradations, deformations, geometry and objects on the roadway. With this new technology, it becomes necessary to set up a new method of exploitation and analysis for the auscultation of roadway. Cerema performed a cross-testing campaign in order to evaluate the quality of the data produced by AIGLE 3D inspection vehicles. The purpose of this article is to resume the crossover trial campaign and set up an analysis method. Results of this measurement are then presented and analyzed.