Taylor, James and Whittaker, Joseph and Young, Peter and Chotai, Arunkumar (1997) Forecasting and control of interurban traffic networks using a state space formulated traffic model. In: International Federation of Automatic Control 8th symposium on Transportation systems. UNSPECIFIED.
Full text not available from this repository.Abstract
This paper first presents a statistical ‘data assimilation’ approach to handling the large volume of real time measurements now available from instrumented traffic networks. The dynamic state-space modelling technique employed, herein called the Statistical Traffic Model (STM), transforms on-line roadside measurements of traffic flow into explicit assessments of the current and future state of an inter-urban road network, and provides transport management with a tool for monitoring, prediction and control. The paper then goes on to discuss the application of adaptive Proportional-Integral-Plus (PIP) control systems to a non-linear STM simulation of the Amsterdam ring road.
| Item Type: | Contribution in Book/Report/Proceedings |
|---|---|
| Uncontrolled Keywords: | traffic control ; optimal control ; adaptive control ; hierarchical control ; simulation ; non-linear systems ; forecasts |
| Subjects: | UNSPECIFIED |
| Departments: | Faculty of Science and Technology > Engineering Faculty of Science and Technology > Lancaster Environment Centre Faculty of Science and Technology > Mathematics and Statistics |
| ID Code: | 49449 |
| Deposited By: | ep_importer_pure |
| Deposited On: | 08 Aug 2011 13:11 |
| Refereed?: | No |
| Published?: | Published |
| Last Modified: | 26 Jul 2012 22:57 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/49449 |
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