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Forecasting, simulation and control of interurban traffic networks

Taylor, James and Young, Peter and Chotai, Arunkumar (1997) Forecasting, simulation and control of interurban traffic networks. In: 12th International Conference on Systems Engineering :. .

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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
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: 02 May 2018 01:03
Identification Number:

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