Short-term traffic flow forecasting using sampling Markov Chain method with incomplete data

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2004, Pages 437-441

  Sun, Shiliang ^a   Yu, Guoqiang ^a   Zhang, Changshui ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; KALMAN FILTERING; MARKOV PROCESSES; MATHEMATICAL MODELS; NEURAL NETWORKS; PROBABILITY DENSITY FUNCTION; THEOREM PROVING;

CONDITIONAL PROBABILITY; GAUSSIAN DENSITY FUNCTION; MEAN SQUARE ERRORS; TRAFFIC FLOW;

TRAFFIC CONTROL;

EID: 4544349382     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. B.M. William, Modeling and Forecasting Vehicular Traffic Flow as a Seasonal Stochastic Time Series Process, Doctoral Dissertation, University of Virginia, Charlottesville, 1999.
2. I. Okutani, Y.J. Stephanedss, Dynamic Prediction of Traffic Volume through Kalman Filter Theory, Transportation Research Part B., Vol.18B, 1-11, 1984.
3. T. Edwards, D.S.W. Transley, R.J. Frank, N. Davey, Traffic Trends Analysis using Neural Networks, http://homepages.feis.herts.ac.uk/~nngroup/pubs/ papers/edwardsiwannt97.pdf.
4. G.A. Davis, N.L. Nihan, Non-parametric Regression and Short-term Freeway Traffic Forecasting, Journal of Transportation Engineering, 178-188, 1991.
5. Roland Chrobok, Joachim Wahle, Michael Schreckenberg, "Traffic Forecast using Simulations of Large Scale Networks", IEEE Intelligent Transportation Systems Conference Proceedings, 2001.
6. G.A. Davis, Adaptive Forecasting of Freeway Traffic Congestion, Transportation Research Record, No.1287, TRB, National Research Council, Washing, D.C., 1990.
7. Guoqiang Yu, Jianming Hu, Changshui Zhang, Like Zhuang, Jingyan Song, Short-term Traffic Flow Forecasting Based on Markov Chain Model, Intelligent Vehicles Symposium, Proceedings, Page(s): 208-212, IEEE, June 9-11, 2003.
8. Baibo Zhang, Changshui Zhang, King Yi, Competitive EM Algorithm for Finite Mixture Models, Pattern Recognition, Volume: 37, Issue: 1, January, 2004, pp. 131-144.
9. Ming-Hui Chen, Qi-Man Shao, Joseph G. Ibrahim, Monte Carlo Methods in Bayesian Computation, Springer, New York, 2000.