448
Views
10
CrossRef citations to date
0
Altmetric
Articles

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

, , , , &
Pages 895-907 | Received 19 Dec 2017, Accepted 09 Aug 2018, Published online: 29 Aug 2018

References

  • Boroojeni, K.G., et al., 2017. A novel multi-time-scale modeling for electric power demand forecasting: from short-term to medium-term horizon. Electric Power Systems Research, 142, 58–73. doi: 10.1016/j.epsr.2016.08.031
  • Cortez, P., Rocha, M., and Neves, J., 2004. Evolving time series forecasting ARMA models. Journal of Heuristics, 10 (4), 415–429. doi: 10.1023/B:HEUR.0000034714.09838.1e
  • Erdem, E. and Shi, J., 2011. ARMA based approaches for forecasting the tuple of wind speed and direction. Applied Energy, 88 (4), 1405–1414. doi: 10.1016/j.apenergy.2010.10.031
  • Hou, C.P., 2015. Prediction model of high grade asphalt pavement performance and research on preventive maintenance measures. Thesis (Master). Chongqing Jiaotong University (in Chinese).
  • Hu, C.Y., 2016. Study on the performance prediction of asphalt pavement based on big data technology. Thesis (Master). Southeast University (in Chinese).
  • Huang, Z., et al., 2009. Image denoising based on the dyadic wavelet transform and improved threshold. International Journal of Wavelets, Multiresolution and Information Processing, 7 (3), 269–280. doi: 10.1142/S021969130900291X
  • Lan, Z., Ni, F.J., and Zhao, Y.J., 2015. Prediction method of highway pavement rutting based on the grey theory. Journal of Southeast University (English Edition), 31 (3), 396–400.
  • Lydia, M., et al., 2016. Linear and non-linear autoregressive models for short-term wind speed forecasting. Energy Conversion and Management, 112, 115–124. doi: 10.1016/j.enconman.2016.01.007
  • Mao, J., 2012. Noise reduction for lidar returns using local threshold wavelet analysis. Optical and Quantum Electronics, 43, 59–68. doi: 10.1007/s11082-011-9503-6
  • MATLAB, 2012. MATLAB Version R2012a, Inc.
  • Ministry of Transport of the People’s Republic of China, 2007. Highway Performance Assessment Standards (JTG H20-2007).
  • Ni, L., Chen, X., and Huang, Q., 2010. ARIMA model for traffic flow prediction based on wavelet analysis. In: International Conference on Information Science and Engineering, Hangzhou, China. IEEE, 1028–1031.
  • Shi, S., Liu, W., and Jin, M., 2013. Stock price forecasting using a hybrid ARMA and BP neural network and Markov model. In: International Conference on Communication Technology, Chengdu, China. IEEE, 981–985.
  • Tan, S., et al., 2015. Generalized minimum variance control design based on the Box-Jenkins model and its application to gas flow control system. Transactions of the Institute of Measurement and Control, 37 (8), 983–990. doi: 10.1177/0142331214551816
  • Vrieze, S.I., 2012. Model selection and psychological theory: a discussion of the differences between the Akaike information criterion (AIC) and the Bayesian information criterion (BIC). Psychological Methods, 17 (2), 228–243. doi: 10.1037/a0027127
  • Wu, W., and Cai, P., 2008. Simulation of wavelet denoising based on MATLAB. Information and Electronic Engineering, 6 (3), 220–222.
  • Zeng, J.H., 2009. Prediction method of highway asphalt pavement rutting based on time-series analysis methods. Journal of China & Foreign Highway, 29 (2), 102–104 (in Chinese).
  • Zhang, Z., et al., 2014. Multi-threshold wavelet packet de-noising method and its application in deformation analysis. Acta Geodartica et Cartographica Sinica, 43 (1), 13–20 (in Chinese).

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:

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:

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.