Forecasting, simulation and PIP control of interurban traffic networks

Taylor, James and Young, Peter and Chotai, Arunkumar (1997) Forecasting, simulation and PIP 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
Subjects:
?? NON-MINIMAL STATE SPACEPROPORTIONAL-INTEGRAL PLUSCO-ORDINATED TRAFFIC CONTROLDYNAMIC HARMONIC REGRESSION MODELNON-LINEAR SIMULATION ??
ID Code:
49447
Deposited By:
Deposited On:
08 Aug 2011 12:13
Refereed?:
Yes
Published?:
Published
Last Modified:
21 Nov 2022 14:17