Univariate short-term prediction of road travel times

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn 2005, Issue , 2005, Pages 1074-1079

  Nikovski, D ^a   Nishiuma, N ^b   Goto, Y ^b   Kumazawa, H ^b  

^a MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

^b MITSUBISHI ELECTRIC CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; ITERATIVE METHODS; LEARNING SYSTEMS; NEURAL NETWORKS; REGRESSION ANALYSIS; ROADS AND STREETS; STATISTICAL METHODS;

ITERATIVE LINEAR REGRESSION ALGORITHMS; K-NEAREST NEIGHBORS; LINEAR REGRESSION; ROAD TRAVEL TIMES;

PREDICTIVE CONTROL SYSTEMS;

EID: 33747389410     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2005.1520200     Document Type: Conference Paper

References (8)

1. A. Stathopoulos and M. G. Karlaftis, "A multivariate state space approach for urban traffic flow modeling and prediction," Transportation Research Part C, vol. 11, no. 3, pp. 121-135, 2003.
2. M. S. Dougherty and M. R. Cobbett, "Short-term inter-urban traffic forecasts using neural networks," International Journal of Forecasting, vol. 13, no. 1, pp. 21-31, 1997.
3. W. N. Venables and B. D. Ripley, Modern Applied Statistics with S. Fourth Edition. New York: Springer, 2002.
4. J. Rice and E. van Zwet, "A simple and effective method for predicting travel times on freeways," in Intelligent Transportation Systems, pp. 227-232, IEEE, 2001.
5. B. L. Smith, B. M. Williams, and R. K. Oswald, "Comparison of parametric and nonparametric models for traffic flow forecasting," Transportation Research Part C, vol. 10, no. 4, pp. 303-321, 2002.
6. F. Takens, "On the numerical determination of the dimension of an attractor," in Dynamical systems and bifurcations, Groningen 1984 (B. L. J. Braaksma, H. W. Broer, and F. Takens, eds.), vol. 1125 of Lecture Notes in Mathematics, pp. 99-106, Berlin: Springer-Verlag, 1985.
7. A. W. Moore and C. G. Atkeson, "Memory-based function approximators for learning control," tech. rep., MIT, MIT Artificial Intelligence Laboratory, Cambridge, MA 02139, July 1992.
8. N. Nishiuma, Y. Goto, H. Kumazawa, D. Nikovski, and M. Brand, "Traffic prediction using singular value decomposition," in Proceedings of the 11th World Congress on ITS, Nagoya, Oct 18-22, 2004.