Technical Papers
Mar 2, 2016

Evaluation and Comparison of Real-Time Laser and Electric Sand-Patch Pavement Texture-Depth Measurement Methods

Publication: Journal of Transportation Engineering
Volume 142, Issue 7

Abstract

In order to measure the texture depth of asphalt pavement automatically and accurately, a data set generated by a real-time laser pavement texture meter (RLPTM) was realized, and a calculation method was developed. Three groups of experiments were designed and conducted to calibrate the measure results of the electric sand patch method (ESPM) to the ASTM sand patch method and compare the performance of the RLPTM with the ESPM. Experimental results showed that the correlation coefficient of the ESPM and sand patch method have reached up to 0.9830, indicating a good correlation. The RLPTM method had higher resolution (more significant figures) and better repeatability (lower coefficients of variation) than ESPM. The correlation coefficient between RLPTM and ESPM was 0.9207, demonstrating the good repeatability of the overall measurements. The absolute errors of the results obtained by RLPTM and ESPM were within 0.3 mm. Further analysis indicated that results of RLPTM were slightly over predicted (slope value 1.0141) compared to that of ESPM, whereas results of ESPM were slightly under predicted (slope value 0.9823) to that of sand patch. Thus, results of RLPTM may come closer to ASTM sand patch data than ESPM data, indicating the high accuracy of RLPTM.

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Acknowledgments

This work is financially supported by the National Natural Science Foundation of China (51408045) and Fundamental Research Funds for the Central Universities (310824152103 and 2013G3242007), which are gratefully appreciated.

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Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 142Issue 7July 2016

History

Received: Feb 20, 2014
Accepted: Dec 14, 2015
Published online: Mar 2, 2016
Published in print: Jul 1, 2016
Discussion open until: Aug 2, 2016

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Authors

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Ph.D. Student, School of Information Engineering, Chang’an Univ., Xi’an 710061, China (corresponding author). E-mail: [email protected]
Professor, Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang’an Univ., Xi an 710061, China. E-mail: [email protected]
Zhaoyun Sun [email protected]
Professor, School of Information Engineering, Chang’an Univ., Xi’an 710061, China. E-mail: [email protected]
Associate Professor, School of Information Engineering, Chang’an Univ., Xi’an 710061, China. E-mail: [email protected]
Haiwei Zhao [email protected]
Graduate Student, School of Information Engineering, Chang’an Univ., Xi’an 710061, China. E-mail: [email protected]

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