A novel networked traffic parameter forecasting method based on Markov chain model

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

Volumn 4, Issue , 2003, Pages 3595-3600

  Hu, Jianming ^a   Song, Jingyan ^a   Yu, Guoqiang ^a   Zhang, Yi ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Clustering analysis; EM algorithm; Intelligent transportation systems; Markov chain model; Networked traffic parameter forecasting

Indexed keywords

ALGORITHMS; FORECASTING; MARKOV PROCESSES; MATHEMATICAL MODELS; MOTOR TRANSPORTATION; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS;

CLUSTERING ANALYSIS; MARKOV CHAIN MODEL; NETWORKED TRAFFIC PARAMETER FORECASTING METHOD;

INTELLIGENT VEHICLE HIGHWAY SYSTEMS;

EID: 0242552496     PISSN: 08843627     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. C. Radhakrishna Rao, Linear Statistical Inference and Its Applications (Second Edition). USA: John Wiley & Sons, Inc, 1973
2. Davis, G.A. and Nihan, N.L. Nonparametric Regression and Short-term Freeway Traffic Forecasting. ASCE Journal of Transportation Engineering, Vol.177, No 2, 178-188, 1991.
3. Guoqiang Yu, Jianming Hu, Changshui Zhang, Like zhuang and Jingyan Song, "Short-term Traffic Flow Forecasting Based on Markov Chain Model", Proceedings of IEEE Intelligent Vehicles Symposium (IV2003), Columbus, OH, USA, June 9-11, 2003
4. Jeff A. Bilmes, A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models, International Computer Science Institute, Berkerley CA, TR-07-021, Apr. 1998
5. Jianming Hu, Zhaosheng Yang, Yi Zhang and Jianyan Song, "An Applicable Method of a Real-time Passenger Flow Prediction", Proceedings of the 9th World Congress on ITS, 2002
6. Nadhir Messai, Philippe Thomas, Dimitri Lefebvre and Abdellah El Moudni, A Neural Network Approach for Freeway Traffic Flow Prediction. Proceedings of the 2002 IEEE International Conference on Control Applications, Sep. 18-20, 2002 Glasgow, Scotland, U.K.
7. Okutani, I And Y.I. Stephanides, Dynamic Prediction of Traffic Volume through Kalman Filtering Theory, Transportation Research Part B, Vol. 18B, NO. 1, 1984, P1-11.
8. William, B.M. Modeling and Forecasting Vehicular Traffic Flow as a Seasonal Stochastic Time Series Process. Doctoral dissertation. Department of Civil Engineering University of Virginia, Charlottesville, 1999.