Brinster Gregory L, Hodaei Mona, Eissa Aser M, DeLoach Zach, Bruno Joseph E, Habib Ayman, Bullock Darcy M
Joint Transportation Research Program, Lyles School of Civil and Construction Engineering, College of Engineering, Purdue University, West Lafayette, IN 47907, USA.
Indiana Department of Transportation, 100 N Senate Ave, Marion County, Indianapolis, IN 46204, USA.
Sensors (Basel). 2024 Oct 17;24(20):6694. doi: 10.3390/s24206694.
Good visibility of lane markings is important for all road users, particularly autonomous vehicles. In general, nighttime retroreflectivity is one of the most challenging marking visibility characteristics for agencies to monitor and maintain, particularly in cold weather climates where agency snowplows remove retroreflective material during winter operations. Traditional surface-applied paint and glass beads typically only last one season in cold weather climates with routine snowplow activity. Recently, transportation agencies in cold weather climates have begun deploying improved recessed, durable pavement markings that can last several years and have very high retroreflective properties. Several dozen installations may occur in a state in any calendar year, presenting a challenge for states that need to program annual repainting of traditional waterborne paint lines, but not paint over the much more costly durable markings. This study reports on the utilization of mobile mapping LiDAR systems to classify and evaluate pavement markings along a 73-mile section of westbound I-74 in Indiana. LiDAR intensity data can be used to classify pavement markings as either tape or non-tape and then identify areas of tape markings that need maintenance. RGB images collected during LiDAR intensity data collection were used to validate the LiDAR classification. These techniques can be used by agencies to develop accurate pavement marking inventories to ensure that only painted lines (or segments with missing tape) are repainted during annual maintenance. Repeated tests can also track the marking intensity over time, allowing agencies to better understand material lifecycles.
车道标线的良好可见性对所有道路使用者都很重要，尤其是自动驾驶车辆。一般来说，夜间反光性是各机构监测和维护时最具挑战性的标线可见性特征之一，特别是在寒冷气候地区，冬季作业时机构的扫雪车会清除反光材料。在有常规扫雪活动的寒冷气候地区，传统的表面涂漆和玻璃微珠通常只能维持一个季节。最近，寒冷气候地区的交通运输机构已开始部署改进后的嵌入式耐用路面标线，这种标线可以使用数年，并且具有很高的反光性能。在任何一个日历年里，一个州可能会有几十处这样的标线安装，这给那些需要规划每年重新涂刷传统水性漆标线，但又不能在成本高得多的耐用标线上重新涂漆的州带来了挑战。本研究报告了利用移动测绘激光雷达系统对印第安纳州74号州际公路西行方向73英里路段的路面标线进行分类和评估的情况。激光雷达强度数据可用于将路面标线分类为胶带式或非胶带式，然后识别需要维护的胶带式标线区域。在收集激光雷达强度数据期间采集的RGB图像用于验证激光雷达分类。各机构可以使用这些技术来编制准确的路面标线清单以确保在年度维护期间只重新涂刷油漆标线（或胶带缺失的路段）。重复测试还可以跟踪标线强度随时间的变化，使各机构能够更好地了解材料的使用寿命。
