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Project Level Rehabilitation Design of Asphalt Pavements Using Laser and LiDAR Technologies

机译:使用激光和LiDAR技术的沥青路面项目级修复设计

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The evaluation of asphalt concrete pavement performance has become more sophisticated with recent developments of 3-D pavement surface profiling systems and 360° mobile LiDAR. These technologies complement inertial profiling systems and allow for 100 percent coverage of the pavement surface and adjoining right-of-way to be surveyed at highway speeds. Beginning in 2013, Alberta Transportation (AT) started collecting pavement distress and LiDAR point cloud data as part of their network data collection program. The 3-D Laser Crack Measurement System (LCMS) provides crack distress extent and severity data. Roadway geometric data (roadway alignment and curve information, pavement width, cross-fall, superelevation, side slope/ditch depth/backslope cross section information) is provided from the LiDAR survey. These data along with inertial roadway profile, forward and panoramic video, and spatial reference data were collected simultaneously with one vehicle platform at highway speeds. Using a project on Hwy 47 about 250 km west of Edmonton that has been programmed for rehabilitation, several case studies have been undertaken. The studies demonstrate how the data provided by the LCMS and LiDAR systems can be applied to the design process to better understand pavement behaviour, provide more complete data for assessing geometric requirements and to assess requirements for pre-overlay repairs.
机译:随着3D路面表面轮廓系统和360°移动LiDAR的最新发展,对沥青混凝土路面性能的评估变得更加复杂。这些技术补充了惯性轮廓分析系统,并允许以高速公路速度对路面的100%覆盖和相邻的行进路进行测量。从2013年开始,阿尔伯塔运输(AT)开始收集路面遇险和LiDAR点云数据,作为其网络数据收集计划的一部分。 3-D激光裂纹测量系统(LCMS)提供裂纹扩展程度和严重性数据。道路几何数据(巷道路线和曲线信息,路面宽度,落差,超高,边坡/沟渠深度/后坡横截面信息)由LiDAR测量提供。这些数据以及惯性道路轮廓,前向和全景视频以及空间参考数据是在一个高速公路上以一个车辆平台同时收集的。利用埃德蒙顿以西约250公里的47号高速公路上的一个已计划进行修复的项目,已进行了一些案例研究。研究表明,如何将LCMS和LiDAR系统提供的数据应用到设计过程中,以更好地理解路面性能,提供更完整的数据来评估几何要求和评估覆盖前修复的要求。

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