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.Official URL: http://dx.doi.org/10.1016/S0169-2070(96)00700-5
Abstract
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.
| Item Type: | Article |
|---|---|
| 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 |
| ID Code: | 19530 |
| Deposited By: | ep_ss_importer |
| Deposited On: | 13 Nov 2008 16:47 |
| Refereed?: | Yes |
| Published?: | Published |
| Last Modified: | 26 Jul 2012 15:31 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/19530 |
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