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. .Full text not available from this repository.
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|
|Departments:||Faculty of Science and Technology > Engineering|
Faculty of Science and Technology > Lancaster Environment Centre
Faculty of Science and Technology > Mathematics and Statistics
|Deposited On:||08 Aug 2011 13:11|
|Last Modified:||19 Apr 2016 00:55|
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