A multivariate state space approach for urban traffic flow modeling and prediction

Author:

Stathopoulos Anthony,Karlaftis Matthew G.

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference36 articles.

1. Chang, S.C., Kim, S.J., Ahn, B.H., 2000. Traffic-flow forecasting using time series analysis and artificial neural network: the application of judgmental adjustment. Presented in the 3rd IEEE International Conference on Intelligent Transportation Systems

2. Real-time prediction of traffic flows using dynamic generalized linear models;Chang;Transportation Research Record,1999

3. Use of sequential learning for short-term traffic flow forecasting;Chen;Transportation Research Part C,2001

4. Nonparametric regression and short-term freeway traffic forecasting;Davis;ASCE Journal of Transportation Engineering,1991

5. An object-oriented neural network approach to short-term traffic forecasting;Dia;European Journal of Operational Research,2001

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