Advanced search
Publication Cover
International Journal of Pavement Engineering Volume 21, 2020 - Issue 7
Submit an article Journal homepage
451
Views
10
CrossRef citations to date
0
Altmetric
Articles

Prediction modelling of rutting depth index for asphalt pavement using de-noising method

Mingjing FangSchool of Transportation, Wuhan University of Technology, Wuhan, ChinaCorrespondence[email protected]
View further author information
,
Chengjia HanSchool of Transportation, Wuhan University of Technology, Wuhan, ChinaView further author information
,
Yue XiaoState Key Laboratory of Silicate Materials for Architectures, Wuhan University of Technology, Wuhan, ChinaView further author information
,
Zhongzhao HanSchool of Transportation, Wuhan University of Technology, Wuhan, ChinaView further author information
,
Shaopeng WuState Key Laboratory of Silicate Materials for Architectures, Wuhan University of Technology, Wuhan, ChinaView further author information
&
Meng ChengCentral-Southern Safety & Environment Technology Institute Co., Ltd., Wuhan, ChinaView further author information
Pages 895-907 | Received 19 Dec 2017, Accepted 09 Aug 2018, Published online: 29 Aug 2018

Citations (10)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (3)

Chengjia Han, Jusheng Tong, Tao Ma, Zheng Tong & Siqi Wang. (2023) Rutting prediction model for semi-rigid base asphalt pavement based on a data-mechanistic dual driven method. International Journal of Pavement Engineering 24:1.
Read now
Chengjia Han, Mingjing Fang, Tao Ma, Hongyou Cao & Hao Peng. (2020) An intelligent decision-making framework for asphalt pavement maintenance using the clustering-PageRank algorithm. Engineering Optimization 52:11, pages 1829-1847.
Read now
Sylvester Inkoom, John Sobanjo, Adrian Barbu & Xufeng Niu. (2019) Prediction of the crack condition of highway pavements using machine learning models. Structure and Infrastructure Engineering 15:7, pages 940-953.
Read now

Articles from other publishers (7)

Zhuoxuan Li, Iakov Korovin, Xinli Shi, Sergey Gorbachev, Nadezhda Gorbacheva, Wei Huang & Jinde Cao. (2023) A Data-Driven Rutting Depth Short-Time Prediction Model with Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack. IEEE/CAA Journal of Automatica Sinica 10:10, pages 1918-1932.
Crossref
Jinren Zhang, Jinde Cao, Wei Huang, Xinli Shi, Xianghao Ji & Xingye Zhou. (2023) A hybrid framework for asphalt pavement rutting prediction modeling and influencing factors analysis based on multilevel wavelet decomposition and transfer entropy. Applied Mathematical Modelling 121, pages 714-730.
Crossref
Zhuoxuan Li, Meng Tao, Jinde Cao, Xinli Shi, Tao Ma & Wei Huang. (2022) An Augmented Model of Rutting Data Based on Radial Basis Neural Network. Symmetry 15:1, pages 33.
Crossref
Qiao Dong, Xueqin Chen, Shi Dong & Fujian Ni. (2022) Data Analysis in Pavement Engineering: An Overview. IEEE Transactions on Intelligent Transportation Systems 23:11, pages 22020-22039.
Crossref
Aihui Hu, Qiang Bai, Lin Chen, Siyuan Meng, Qihui Li & Zhiman Xu. (2022) A review on empirical methods of pavement performance modeling. Construction and Building Materials 342, pages 127968.
Crossref
Ban Ali Kamil & Hamid Athab Eedan AlJameel. (2022) Impact Of Traffic Characteristics and Pavement Surface Condition on Noise Level for Rigid Pavement. IOP Conference Series: Earth and Environmental Science 961:1, pages 012101.
Crossref
Yao Zhang, Xue Luo, Ibrahim Onifade, Xiaoming Huang, Robert L. Lytton & Bjorn Birgisson. (2019) Mechanical evaluation of aggregate gradation to characterize load carrying capacity and rutting resistance of asphalt mixtures. Construction and Building Materials 205, pages 499-510.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.