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

Aboudolas, K. , Papageorgiou, M., Kouvelas, A. and Kosmatopoulos, E.B. (2008) A rolling-horizon quadratic-programming approach to the signal control problem in large-scale congested urban road networks. In: 10th International Conference on Applications of Advanced Technologies in Transportation, Athens, Greece, 27-31 May 2008, pp. 524-538.

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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.

Item Type:Conference Proceedings
Additional Information:Proceedings ISBN: 9781617388316
Keywords:Rolling-horizon, model-predictive control, quadratic programming, traffic signal control
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ampountolas, Dr Konstantinos
Authors: Aboudolas, K., Papageorgiou, M., Kouvelas, A., and Kosmatopoulos, E.B.
College/School:College of Science and Engineering > School of Engineering > Infrastructure and Environment

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