|Table of Contents|

[1] Zhou Lan, Ni Fujian, Zhao Yanjing,. Prediction method of highway pavement ruttingbased on the grey theory [J]. Journal of Southeast University (English Edition), 2015, 31 (3): 396-400. [doi:10.3969/j.issn.1003-7985.2015.03.017]
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Prediction method of highway pavement ruttingbased on the grey theory()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
31
Issue:
2015 3
Page:
396-400
Research Field:
Traffic and Transportation Engineering
Publishing date:
2015-09-20

Info

Title:
Prediction method of highway pavement ruttingbased on the grey theory
Author(s):
Zhou Lan1 Ni Fujian1 Zhao Yanjing2
1School of Transportation, Southeast University, Nanjing 210096, China
2School of Civil Engineering, Southeast University, Nanjing 210096, China
Keywords:
prediction method grey theory cluster analysis analysis of variance pavement rutting
PACS:
U416.217
DOI:
10.3969/j.issn.1003-7985.2015.03.017
Abstract:
In order to make a scientific pavement maintenance decision, a grey-theory-based prediction methodological framework is proposed to predict pavement performance. Based on the field pavement rutting data, analysis of variance(ANOVA)was first used to study the influence of different factors on pavement rutting. Cluster analysis was then employed to investigate the rutting development trend. Based on the clustering results, the grey theory was applied to build pavement rutting models for each cluster, which can effectively reduce the complexity of the predictive model. The results show that axial load and asphalt binder type play important roles in rutting development. The prediction model is capable of capturing the uncertainty in the pavement performance prediction process and can meet the requirements of highway pavement maintenance, and, therefore, has a wide application prospects.

References:

[1] Somayeh N, Mohammad H S, Alireza B. Development of roughness prediction models using Alberta transportation’s pavement management system[J]. International Journal of Pavement Research and Technology, 2013, 6(6): 714-720.
[2] Arambula E, George R, Xiong W X, et al. Development and validation of pavement performance models for the state of Maryland[J]. Transportation Research Record, 2011, 2225: 25-31.
[3] Wu Z, Chen X W, Yang X M, et al. Finite element model for rutting prediction of flexible pavement with cementitiously stabilized base-subbase[J]. Transportation Research Record, 2011, 2226: 104-110.
[4] Porras-Alvarado J D, Zhang Z M, Salazar L G L. Probabilistic approach to modeling pavement performance using IRI data[C]//Transportation Research Board 93rd Annual Meeting. Washington DC, USA, 2014:145437-1-145437-15.
[5] Prozzi J, Madanat S. Development of pavement performance models by combining experimental and field data[J]. Journal of Infrastructure Systems, 2004, 10(1): 9-22.
[6] Ma J X, Xu F Y, Huang R. A linear and nonlinear auto-regressive model and its application in modeling and forecasting[J]. Journal of Southeast University: Natural Science Edition, 2013, 43(3): 509-514.(in Chinese)
[7] Wang K C P, Li Q, Hall K D, et al. Experimentation with grey theory for pavement smoothness prediction[J]. Transportation Research Record, 2007, 1990: 3-13.
[8] Yi J, Shuo L. Grey system model for estimating the pavement international roughness index [J]. Journal of Performance of Constructed Facilities, 2005, 19(1): 62-68.
[9] Ministry of Communications of the People’s Republic of China. JTG H20—2007 Highway performance assessment standards [S]. Beijing: People Transportation Publishing House, 2008.(in Chinese)
[10] Lu W D. Statistical package for the social sciences(SPSS)tutorial: statistical analysis[M]. Beijing: Publishing House of Electronics Industry, 2012: 64-145.(in Chinese)

Memo

Memo:
Biographies: Zhou Lan(1984—), female, graduate; Ni Fujian(corresponding author), male, doctor, professor, nifujian@gmail.com.
Foundation item: The Major Scientific and Technological Special Project of Jiangsu Provincial Communications Department(No.2011Y/02-G1).
Citation: Zhou Lan, Ni Fujian, Zhao Yanjing. Prediction method of highway pavement rutting based on the grey theory[J].Journal of Southeast University(English Edition), 2015, 31(3):396-400.[doi:10.3969/j.issn.1003-7985.2015.03.017]
Last Update: 2015-09-20