Influence of computation algorithm on the accuracy of rut depth measurement

Rutting is one of the dominant pavement distresses, hence, the accuracy of rut depth measurements can have a substantial impact on the maintenance and rehabilitation (M & R) strategies and funding allocation. Different computation algorithms such as straight-edge method and wire line method, whi...

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Main Authors: Di Wang, Augusto Cannone Falchetto, Matthias Goeke, Weina Wang, Tiantian Li, Michael P. Wistuba
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2017-04-01
Series:Journal of Traffic and Transportation Engineering (English ed. Online)
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2095756417300776
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spelling doaj-d109ec5dd85d433dace690c82eeb15162021-02-02T07:52:47ZengKeAi Communications Co., Ltd.Journal of Traffic and Transportation Engineering (English ed. Online)2095-75642017-04-014215616410.1016/j.jtte.2017.03.001Influence of computation algorithm on the accuracy of rut depth measurementDi Wang0Augusto Cannone Falchetto1Matthias Goeke2Weina Wang3Tiantian Li4Michael P. Wistuba5Department of Civil Engineering, Technische Universität Braunschweig, Braunschweig 38106, GermanyDepartment of Civil Engineering, Technische Universität Braunschweig, Braunschweig 38106, GermanyDepartment of Civil Engineering, Technische Universität Braunschweig, Braunschweig 38106, GermanySchool of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, ChinaKey Laboratory for Special Area Highway Engineering of Ministry of Education, Chang'an University, Xi'an 710064, ChinaDepartment of Civil Engineering, Technische Universität Braunschweig, Braunschweig 38106, GermanyRutting is one of the dominant pavement distresses, hence, the accuracy of rut depth measurements can have a substantial impact on the maintenance and rehabilitation (M & R) strategies and funding allocation. Different computation algorithms such as straight-edge method and wire line method, which are based on the same raw data, may lead to rut depth estimation which are not always consistent. Therefore, there is an urgent need to assess the impact of algorithm types on the accuracy of rut depth computation. In this paper, a 13-point-based laser sensor detection technology, commonly accepted in China for rut depth measurements, was used to obtain a database of 85,000 field transverse profiles having three representative rutting shapes with small, medium and high severity rut levels. Based on the reconstruction of real transverse profiles, the consequences from two different algorithms were compared. Results showed that there is a combined effect of rut depth and profile shape on the rut depth computation accuracy. As expected, the difference between the results obtained with the two computation methods increases with deeper rutting sections: when the distress is above 15 mm (severe level), the average difference between the two computation methods is above 1.5 mm, normally, the wire line method provides larger results. The computation suggests that the rutting shapes have a minimal influence on the results. An in-depth analysis showed that the upheaval outside of the wheel path is a dominant shape factor which results in higher computation differences.http://www.sciencedirect.com/science/article/pii/S2095756417300776Pavement distressMultipoint laser detectionStraight-edge rut depthWire line rut depthRutting shapeRut depth magnitude
collection DOAJ
language English
format Article
sources DOAJ
author Di Wang
Augusto Cannone Falchetto
Matthias Goeke
Weina Wang
Tiantian Li
Michael P. Wistuba
spellingShingle Di Wang
Augusto Cannone Falchetto
Matthias Goeke
Weina Wang
Tiantian Li
Michael P. Wistuba
Influence of computation algorithm on the accuracy of rut depth measurement
Journal of Traffic and Transportation Engineering (English ed. Online)
Pavement distress
Multipoint laser detection
Straight-edge rut depth
Wire line rut depth
Rutting shape
Rut depth magnitude
author_facet Di Wang
Augusto Cannone Falchetto
Matthias Goeke
Weina Wang
Tiantian Li
Michael P. Wistuba
author_sort Di Wang
title Influence of computation algorithm on the accuracy of rut depth measurement
title_short Influence of computation algorithm on the accuracy of rut depth measurement
title_full Influence of computation algorithm on the accuracy of rut depth measurement
title_fullStr Influence of computation algorithm on the accuracy of rut depth measurement
title_full_unstemmed Influence of computation algorithm on the accuracy of rut depth measurement
title_sort influence of computation algorithm on the accuracy of rut depth measurement
publisher KeAi Communications Co., Ltd.
series Journal of Traffic and Transportation Engineering (English ed. Online)
issn 2095-7564
publishDate 2017-04-01
description Rutting is one of the dominant pavement distresses, hence, the accuracy of rut depth measurements can have a substantial impact on the maintenance and rehabilitation (M & R) strategies and funding allocation. Different computation algorithms such as straight-edge method and wire line method, which are based on the same raw data, may lead to rut depth estimation which are not always consistent. Therefore, there is an urgent need to assess the impact of algorithm types on the accuracy of rut depth computation. In this paper, a 13-point-based laser sensor detection technology, commonly accepted in China for rut depth measurements, was used to obtain a database of 85,000 field transverse profiles having three representative rutting shapes with small, medium and high severity rut levels. Based on the reconstruction of real transverse profiles, the consequences from two different algorithms were compared. Results showed that there is a combined effect of rut depth and profile shape on the rut depth computation accuracy. As expected, the difference between the results obtained with the two computation methods increases with deeper rutting sections: when the distress is above 15 mm (severe level), the average difference between the two computation methods is above 1.5 mm, normally, the wire line method provides larger results. The computation suggests that the rutting shapes have a minimal influence on the results. An in-depth analysis showed that the upheaval outside of the wheel path is a dominant shape factor which results in higher computation differences.
topic Pavement distress
Multipoint laser detection
Straight-edge rut depth
Wire line rut depth
Rutting shape
Rut depth magnitude
url http://www.sciencedirect.com/science/article/pii/S2095756417300776
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