DATA GROUPING TECHNIQUES’ PERFORMANCE ANALYSIS IN GM(1,1)’s PREDICTION ACCURACY IMPROVEMENT FOR FORECASTING TRAFFIC PARAMETERS

Vincent B. Getanda, Hidetoshi Oya, Tomohiro Kubo, and Yosuke Sato

References

  1. [1] J.L. Deng, Introduction to grey system theory, The Journal of Grey System, 1(1), 1989, 1–24.
  2. [2] S. Ye, Research on urban road traffic congestion charging based on sustainable development, International Conference on Applied Physics and Industrial Engineering, Physics Procedia, 24(2012), 2012, 1567–1572.
  3. [3] L. Wu, S. Liu, D. Liu, Z. Fang, and H. Xu, Modelling and forecasting CO2 emissions in the BRICS (Brazil, Russia, India, China, and South Africa) countries using a novel multi-variable grey model, Energy, 79(2015), 2015, 489–495.
  4. [4] S. Mori, K. Tada, R. Idu, and H. Oya, Traffic jam analysis and CO2 emission models in Tokushima city via MITRAM (in Japanese), Proc. of 2013 Annual Conf. of Electronics, Information and Systems Society, IEE of Japan, Kitami, 2013, 1046–1051.
  5. [5] N.T. Ratrout and S.M. Rahman, A comparative analysis of currently used microscopic and macroscopic traffic simulation software, The Arabian Journal for Science and Engineering, 34(1B), 2009, 121–133.
  6. [6] G.E.P. Box, G.M. Jenkins, and G.C. Reinsel, Time Series Analysis – Forecasting and Control 3rd ed (Englewood Cliffs, New Jersey, US: Prentice Hall, 1994).
  7. [7] M. Ghanai and K. Chafaa, Efficient fuzzy identification method for nonlinear systems and signals, Mechatronic Systems and Control (formerly Control and Intelligent Systems), 39(2), 2011, 116–121.
  8. [8] M.N. Martins, R. Waschburger, and R.K.H. Galvao, Identification of multiscale state-space models from input–output data, Mechatronic Systems and Control (formerly Control and Intelligent Systems), 43(1), 2015, 8–16. 33
  9. [9] J.L. Deng, The Basis of Grey Theory (Wuhan, China: Press of Huazhong University of Science & Technology, 2002).
  10. [10] Y. Wang, F. Wei, C. Sun, and Q. Li, The research of improved grey GM(1,1) model to predict the postprandial glucose in type 2 diabetes, BioMed Research International, 2016(2016), 2016, 1–6.
  11. [11] H. (Huiru) Zhao, H. (Haoran) Zhao, and S. Guo, Using GM(1,1) optimized by MFO with rolling mechanism to forecast the electricity consumption of inner Mongolia, Applied Sciences, 6(1), 2016, 20.
  12. [12] S.F. Liu and Y. Lin, Grey Information Theory and Practical Applications (London: Springer-Verlag, 2006).
  13. [13] Y. Wang, Y. Dang, Y. Li, and S. Liu, An approach to increase prediction precision of GM(1,1) model based on optimization of the initial condition, Expert Systems with Applications, 37(8), 2010, 5640–5644.
  14. [14] T.L. Tien, A new grey prediction model FGM(1,1), Mathematical and Computer Modelling, 49(7–8), 2009, 1416–1426.
  15. [15] T.L. Tien, The deterministic grey dynamic model with convolution integral DGDMC(1,n), Applied Mathematical Modelling, 33(8), 2009, 3498–3510.
  16. [16] N.M. Xie and S.F. Liu, Discrete grey forecasting model and its optimization, Applied Mathematical Modelling, 33(2), 2009, 1173–1186.
  17. [17] N.M. Xie, S.F. Liu, Y.J. Yang, and C.Q. Yuan, On novel grey forecasting model based on non-homogeneous index sequence, Applied Mathematical Modelling, 37(7), 2013, 5059–5068.
  18. [18] G.B. Vincent, H. Oya, and T. Kubo, Improving the accuracy of the GM(1,1) by data grouping technique and its application to forecast vehicle volume and CO2 emission in Tokushima City, Japan, Proc. of the 36th IASTED International Conf. on Modeling, Identification and Control (MIC 2017), Innsbruck, Austria, February 20–21, 2017, 39–46.
  19. [19] X. Liu, H. Peng, Y. Bai, Y. Zhu, and L. Liao, Tourism flows prediction based on an improved grey GM(1,1) model, Procedia-Social and Behavioral Sciences, 138, 2014, 767–775.
  20. [20] M.H. Madhi and N. Mohamed, Optimized GM(1,1) model based on the modified initial condition, Journal of Applied Sciences, 17(2), 2017, 90–96.
  21. [21] M. Reza Lotfalipour, M. Ali Falahi, and M. Bastam, Prediction of CO2 emissions in Iran using grey and ARIMA models, International Journal of Energy Economics and Policy, 3(3), 2013, 229–237.
  22. [22] Z. Tailei, W. Kai, and Z. Xueliang, Modelling and analyzing the transmission dynamics of HBV epidemic in Xinjiang, China, PLoS One, 10(9), 2015, e0138765.

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