Tracking and predicting a network traffic process
作者： Joe Whittaker , Simon Garside , Karel Lindveld
DOI: 10.1016/S0169-2070(96)00700-5
关键词:
摘要: This article deals with the problem of real-time modelling and prediction motorway traffic. Conditional independence relationships ideas Bayesian forecasting are proposed leading to employment dynamic state-space models, optimal state estimation coming from Kalman filter. Models, based on classical differential equations, which incorporate representations network topology derived implemented in a framework. The model is applied several road networks Netherlands encouraging preliminary results obtained.
elsevier.com
sci-hub.se 参考文章(6)
W. D. Ray, Peter Young, Recursive Estimation and Time Series Analysis Journal of the Royal Statistical Society: Series A (General). ,vol. 149, pp. 280- 280 ,(1984) , 10.2307/2981573
Lennart Ljung, Torsten Söderström, Theory and Practice of Recursive Identification ,(1983)
Tamer Basar, A New Approach to Linear Filtering and Prediction Problems Journal of Basic Engineering. ,vol. 82, pp. 35- 45 ,(1960) , 10.1115/1.3662552
Joe Whittaker, Graphical Models in Applied Multivariate Statistics ,(1990)
Andrew C. Harvey, Forecasting, Structural Time Series Models and the Kalman Filter ,(1990)
Paul Goodwin, R. M. Oliver, J. Q. Smith, Influence Diagrams, Belief Nets and Decision Analysis Applied statistics. ,vol. 40, pp. 489- 489 ,(1991) , 10.2307/2347534