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Forecasting and control of interurban traffic networks using a state space formulated traffic model

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Forecasting and control of interurban traffic networks using a state space formulated traffic model. / Taylor, James; Whittaker, Joseph; Young, Peter; Chotai, Arunkumar.

International Federation of Automatic Control 8th symposium on Transportation systems . 1997.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Taylor, J, Whittaker, J, Young, P & Chotai, A 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 .

APA

Taylor, J., Whittaker, J., Young, P., & Chotai, A. (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

Vancouver

Taylor J, Whittaker J, Young P, Chotai A. 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 . 1997

Author

Bibtex

@inproceedings{0cf15dd8850e4283b20682403f223515,
title = "Forecasting and control of interurban traffic networks using a state space formulated traffic model",
abstract = "This paper first presents a statistical {\textquoteleft}data assimilation{\textquoteright} 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.",
keywords = "traffic control, optimal control, adaptive control, hierarchical control, simulation, non-linear systems, forecasts",
author = "James Taylor and Joseph Whittaker and Peter Young and Arunkumar Chotai",
year = "1997",
language = "English",
booktitle = "International Federation of Automatic Control 8th symposium on Transportation systems",

}

RIS

TY - GEN

T1 - Forecasting and control of interurban traffic networks using a state space formulated traffic model

AU - Taylor, James

AU - Whittaker, Joseph

AU - Young, Peter

AU - Chotai, Arunkumar

PY - 1997

Y1 - 1997

N2 - 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.

AB - 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.

KW - traffic control

KW - optimal control

KW - adaptive control

KW - hierarchical control

KW - simulation

KW - non-linear systems

KW - forecasts

M3 - Conference contribution/Paper

BT - International Federation of Automatic Control 8th symposium on Transportation systems

ER -