Validating Change of Sign and Pavement Conditions and Evaluating Sign Retroreflectivity Condition Assessment on Georgia’s Interstate Highways Using 3D Sensing Technology
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2019-11-01
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Edition:Final; December 2017 – November 2019
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Abstract:Traffic signs are important for roadway safety and provide critical guidance to road users with traffic regulations, road hazard warnings, destination information, and other geographic information. Pavement surface distress data is critical for monitoring the statewide pavement conditions, identifying maintenance activities, and optimally allocating pavement funds. In 2015, the Georgia Department of Transportation (GDOT) implemented a comprehensive sign inventory and asphalt pavement condition assessment on Georgia’s interstate highways through a research project (RP 15-11). To track the existence and condition change of signs, a new procedure was developed by utilizing the existing sign inventory and condition data. Meanwhile, a sign retro-reflectivity condition assessment method using mobile LiDAR was explored, and a case study was developed to demonstrate the use of the proposed method. The asphalt pavement condition of interstate highways was updated using newly collected 3D pavement laser data. In addition, the condition data of jointed plain concrete pavement (JPCP) and international roughness index (IRI) on interstate highways were collected for this project using the 3D pavement laser data.
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