Taylor, James and Young, Peter and Chotai, Arunkumar (1997) Forecasting, simulation and control of interurban traffic networks. In: 12th International Conference on Systems Engineering. UNSPECIFIED.
Full text not available from this repository.Abstract
This paper discusses a number of research areas concerned with dynamic traffic management, including forecasting, simulation and, ultimately, control of motorway traffic flow. A detailed non-linear simulation of the Amsterdam A10 west ring road, utilising a dynamic state space representation called the Statistical Traffic Model (STM) is described. The simulation is employed in the development of a robust, co-ordinated ramp metering system, based on the Non-Minimal State Space (NMSS) approach to control design, which yields adaptive Proportional-Integral-Plus (PIP) controllers. Finally, when employed in predictive mode, the STM requires forecasts of the on-ramp inputs to the motorway. One approach to obtaining such univariate forecasts, namely Dynamic Harmonic Regression (DHR) is also discussed.
| Item Type: | Contribution in Book/Report/Proceedings |
|---|---|
| Uncontrolled Keywords: | non-minimal state space ; proportional-integral plus ; co-ordinated traffic control ; dynamic harmonic regression model ; non-linear simulation |
| Subjects: | UNSPECIFIED |
| Departments: | Faculty of Science and Technology > Engineering Faculty of Science and Technology > Lancaster Environment Centre |
| ID Code: | 49447 |
| Deposited By: | ep_importer_pure |
| Deposited On: | 08 Aug 2011 13:13 |
| Refereed?: | No |
| Published?: | Published |
| Last Modified: | 26 Jul 2012 22:57 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/49447 |
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