Garside, S. and Lindveld, K. and Whittaker, J. (1997) Tracking and predicting a network traffic process. International Journal of Forecasting, 13. pp. 51-61.Full text not available from this repository.
This article deals with the problem of real-time modelling and prediction of motorway traffic. Conditional independence relationships and ideas of Bayesian forecasting are proposed leading to the employment of dynamic state-space models, with optimal state estimation coming from the Kalman filter. Models, based on classical differential equations, which incorporate representations of the network topology are derived and are implemented in a state-space framework. The model is applied to several road networks in The Netherlands from which encouraging preliminary results are obtained.
|Journal or Publication Title:||International Journal of Forecasting|
|Uncontrolled Keywords:||Motorway networks ; Traffic dynamics ; State-space model ; Kalman filter ; Independence graph|
|Subjects:||Q Science > QA Mathematics|
|Departments:||Faculty of Science and Technology > Mathematics and Statistics|
|Deposited On:||13 Nov 2008 16:47|
|Last Modified:||20 Jan 2017 01:20|
Actions (login required)