检测车轨迹偏移对沥青路面磨耗计算误差的影响

doi:10.13229/j.cnki.jdxbgxb.20230067

Abstract

Abstract:

To study the influence of the vehicle detecting track offset on the calculation results of the degree of wear of asphalt pavement， three models of pavement with light， medium， and heavy wear grades were reconstructed based on the measured 3D laser elevation point cloud data， the mean profile depth（MPD） distribution of its full section wear index was drawn. The three-line method was used to calculate the road wear rate X_WR， and the track of the measuring line after the testing vehicle was offset to the left and right by 100 and 200 mm， respectively， were simulated. The absolute and relative errors of the wear rate X_WR before and after the offset were used as evaluation indexes to analyze the influence law of the track offset on the wear rate calculation error. The results show that the larger the offset distance of the detecting track offset， the absolute error and relative error of the wear rate increase gradually. The maximum absolute errors of the wear rate of the light， moderate and heavy wear sections are 5.95%， 10.71%， and 12.39%， respectively. The heavy wear level will be misjudged as the medium wear level， which may lead to the underestimation of the grade of pavement wear， and further lead to the misjudgment of road condition evaluation and maintenance decisions. Increasing the number of measured lines and reducing the distance between measured lines are effective measures to reduce the offset error and improve the accuracy of wear detection.

Key words: road engineering, pavement wearing, vehicle track offset, error analysis

CLC Number:

U418.1

Bing HUI,Xin-yi YANG,Le-yang ZHANG,Yang LI. Influence of detecting track offset on calculation error of asphalt pavement wearing[J].Journal of Jilin University(Engineering and Technology Edition), 2023, 53(6): 1756-1764.

Figures/Tables 14

Fig.1

Fig.2

Fig.3

Fig.4

Table 1

Example of road surface laser point cloud data"

纵向	横向
纵向	1	2	…	764	765	…	1529	1530
1	11.72	11.73	…	10.50	10.68	…	12.35	12.64
2	11.53	11.54	…	10.05	10.74	…	12.48	12.45
$?$	$?$	$?$	…	$?$	$?$	$?$	$?$	$?$
4999	11.14	11.12	…	9.83	9.69	…	11.25	11.22
5000	11.53	11.55	…	10.23	10.18	…	11.53	11.54

Table 1

Fig.5

Fig.6

Fig.7

Fig.8

Fig.9

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