Evaluation of Cost-effective Pavement Deformation Detection Technologies using Mobile LiDAR
项目名称: Evaluation of Cost-effective Pavement Deformation Detection Technologies using Mobile LiDAR
摘要: Lateral water drainage on roadways is important to ensure safe and efficient operation and structural condition of the pavement. Pavement rutting could lead to failure in draining water which poses a hydroplaning risk to drivers due to ponding and loss of skid resistance in wet weather. Traditional data collection methods to identify pavement sections with deformation such as rutting are time-consuming, labor-intensive, and require data collectors to be located on the road, which poses a safety hazard. Local county agencies and States’ Department of Transportation (DOTs) could benefit from the use of Mobile Terrestrial Light Detection and Ranging (LiDAR) Scanning (MTLS) to collect accurate pavement cross-section data on roads in their jurisdictions. This study will provide technical and economic evaluation of the MTLS system through comparison of the data collected through MTLS with traditional data collection processes such as Rut Bar System. MTLS system could acquire three-dimensional (3D) coordinates in the form of dense point clouds for multiple travel lanes at highway speed with a single pass leading to potential cost-savings. The research will result in a framework to calibrate, collect, and process pavement cross-section and condition data. The project has significant potential for tech transfer to stakeholder agencies as the MTLS data and related processes will be relevant for several applications using spatial data for asset management.
状态: Active
资金: $125,314
资助组织: Center for Transportation, Equity, Decisions & Dollars (CTEDD)<==>University of Texas at Arlington<==>Office of the Assistant Secretary for Research and Technology
项目负责人: Dunn, Denise E
执行机构: California State Polytechnic University, San Luis Obispo
开始时间: 20200116
预计完成日期: 20210831
主题领域: Data and Information Technology;Highways;Maintenance and Preservation;Pavements
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