Innovative Techniques with a Multipurpose Survey Vehicle for Automated Analysis of Cross-Slope Data
Innovative Techniques with a Multipurpose Survey Vehicle for Automated Analysis of Cross-Slope Data
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使用多功能测量车自动分析横坡数据的创新技术
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
A. Nazef
中科院分区：
文献类型：
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作者：
A. Mraz;A. Nazef
长期以来，公路工程领域一直采用人工测量的方法来确定既有道路的横向坡度和纵向坡度。然而，这些方法速度慢、繁琐且劳动密集型。此外，人工调查方法几乎总是需要部分或全部关闭车道，这会导致交通延误，增加成本，并给出行公众带来不便。2003年，佛罗里达州交通部购买了一辆最先进的多功能勘测车(MPSV)，它结合了惯性剖面仪的优势和额外的能力，可以同时收集图像、横向坡度、纵向坡度、曲率、车辙和高速公路速度下的粗糙度。为了补充MPSV系统，已经开发了一个自动分析工具来处理路面几何数据，以快速、高效地识别横向坡度和纵向坡度有缺陷的区域。此外，此分析工具还计算沿铺装层曲面的排水路径。该程序还以二维和三维图形格式显示分析结果，从而更容易地解释数据。MPSV技术与开发的横向坡度分析工具相结合，提供了一种有效、实用和具有成本效益的方法，可以快速识别高速公路沿线潜在的易出问题的区域。本文介绍了一种用于分析横向坡度和纵向剖面数据的创新技术，该技术有助于识别横向坡度和地表排水不足的地区。公路机构可以成功地实施类似的系统和分析方法，以补充和加强其现有的安全和路面管理计划。
Manual surveying methods have long been used in the field of highway engineering to determine the cross slope and the longitudinal grade of an existing roadway. However, these methods are slow, tedious, and labor intensive. Moreover, manual survey methods almost always require partial or full lane closure, which results in traffic delays, increases in costs, and inconvenience to the traveling public. In 2003, the Florida Department of Transportation acquired a state-of-the-art multipurpose survey vehicle (MPSV) that combines the advantage of an inertial profiler with the additional ability of simultaneously collecting images, cross slope, longitudinal grade, curvature, rutting, and roughness at highway speed. To complement the MPSV system, an automated analysis tool has been developed to process pavement geometry data for identifying areas with deficiencies in cross slope and longitudinal grade in a fast, efficient manner. In addition, this analytical tool computes a drainage path along the pavement surface. The program also displays the analysis results in two- and three-dimensional graphical formats, allowing for an easier interpretation of the data. The MPSV technology coupled with the developed cross-slope analysis tool provides an effective, practical, and cost-effective method to identify quickly potential problem-prone areas along a highway. This paper presents an innovative technique for the analysis of data on cross slope and longitudinal profile that helps identify areas with deficiencies in cross slope and surface drainage. Highway agencies can successfully implement similar systems and analysis methodology to complement and enhance their existing safety and pavement management programs.