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http://hdl.handle.net/10397/80499
Title: | Prediction of remaining service life of pavement using an optimized support vector machine (case study of Semnan-Firuzkuh road) | Authors: | Karballaeezadeh, N Mohammadzadeh, SD Shamshirband, S Hajikhodaverdikhan, P Mosavi, A Chau, KW |
Issue Date: | 2019 | Source: | Engineering applications of computational fluid mechanics, 1 Jan. 2019, v. 13, no. 1, p. 188-198 | Abstract: | Accurate prediction of the remaining service life (RSL) of pavement is essential for the design and construction of roads, mobility planning, transportation modeling as well as road management systems. However, the expensive measurement equipment and interference with the traffic flow during the tests are reported as the challenges of the assessment of RSL of pavement. This paper presents a novel prediction model for RSL of road pavement using support vector regression (SVR) optimized by particle filter to overcome the challenges. In the proposed model, temperature of the asphalt surface and the pavement thickness (including asphalt, base and sub-base layers) are considered as inputs. For validation of the model, results of heavy falling weight deflectometer (HWD) and ground-penetrating radar (GPR) tests in a 42-km section of the Semnan-Firuzkuh road including 147 data points were used. The results are compared with support vector machine (SVM), artificial neural network (ANN) and multi-layered perceptron (MLP) models. The results show the superiority of the proposed model with a correlation coefficient index equal to 95%. | Keywords: | Pavement management Remaining service life (RSL) Support vector regression (SVR) Support vector machine (SVM) Particle filter Multi-layered perceptron (MLP) Artificial neural network (ANN) Prediction Forecasting Optimization Road maintenance and management Machine learning (ML) Soft computing (SC) |
Publisher: | Taylor & Francis | Journal: | Engineering applications of computational fluid mechanics | ISSN: | 1994-2060 | EISSN: | 1997-003X | DOI: | 10.1080/19942060.2018.1563829 | Rights: | © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis GroupThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use,distribution, and reproduction in any medium, provided the original work is properly cited. The following publication Karballaeezadeh, N., Mohammadzadeh, S. D., Shamshirband, S., Hajikhodaverdikhan, P., Mosavi, A., & Chau, K. W. (2019). Prediction of remaining service life of pavement using an optimized support vector machine (case study of Semnan-Firuzkuh road). Engineering Applications of Computational Fluid Mechanics, 13(1), 188-198 is available at https://dx.doi.org/10.1080/19942060.2018.1563829 |
Appears in Collections: | Journal/Magazine Article |
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Karballaeezadeh_Prediction_Service_Pavement.pdf | 2.29 MB | Adobe PDF | View/Open |
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