Title

A New Rutting Measurement Method Using Emerging 3D Line-Laser-Imaging System

DOI

10.6135/ijprt.org.tw/2013.6(5).667

Authors

James Yi-Chang Tsai;Feng Li;Yi-Ching Wu

Key Words

3D line laser imaging technology ; Asphalt pavement ; Pavement condition assessment ; Rutting measurement

PublicationName

International Journal of Pavement Research and Technology

Volume or Term/Year and Month of Publication

6卷5期(2013 / 09 / 01)

Page #

667 - 672

Content Language

英文

English Abstract

Rut depth is one of the important pavement performance measures. Rut depth has traditionally been measured using a manual rutting measurement, which is time-consuming, labor-intensive, and dangerous. More recently, point-based bar systems (e.g., 3, 5 points) have been used by some agencies. However, studies have shown these systems might not be able to accurately measure rut depth because of limited number of sample points. There is a need to improve the accuracy and reliability of rutting measurement. With the advances of sensing technology, emerging 3D line-laser-imaging system is now capable of acquiring high-resolution transverse profile of more than 4,000 points. This provides a great opportunity for developing a reliably and accurately rut measurement method. However, there is no framework to handle this overwhelming amount of 3D range-based pavement data. A framework is proposed in this paper to acquire, process, analyze, and visualize the high-resolution 3D pavement data collected using emerging 3D line-laser-imaging system. The proposed framework includes 1) data acquisition using the sensing system, 2) data processing, 3) data segmentation, 4) data statistical analysis, 5) data visualization, and 6) decision support. A case study carried on Interstate Highway 95 (I-95) near Savannah, Georgia, at highway speed is used to demonstrate of the applicability of the proposed framework.

Topic Category 工程學 > 土木與建築工程
工程學 > 道路與鐵路工程
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