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A rolling-horizon quadratic-programming approach to the signal control problem in large-scale congested urban road networks

By K. Aboudolas, M. Papageorgiou, A. Kouvelas and E.B. Kosmatopoulos

Abstract

The paper investigates the efficiency of a new signal control methodology, which offers a computationally feasible technique for real-time network-wide signal control in large-scale urban traffic networks and is applicable also under congested traffic conditions. In this methodology, the traffic flow process is modeled by use of the so-called store-and-forward modeling paradigm. The overall problem of network-wide signal control is formulated as a constrained Quadratic-Programming problem, that aims at minimizing and balancing the link queues so as to minimize the risk of queue spillback. For the application of the proposed methodology in real time, the corresponding optimization algorithm is embedded in a rolling- horizon (model-predictive) control scheme. The control strategy’s efficiency and real-time feasibility is demonstrated and compared with the Linear-Quadratic approach taken by the signal control strategy TUC via their simulation-based application to the urban network of the city centre of Chania, Greece, under a number of different scenarios

Year: 2008
OAI identifier: oai:eprints.gla.ac.uk:81480
Provided by: Enlighten
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