Store-and-forward based methods for the signal control problem in large-scale congested urban road networks

Aboudolas, K. , Papageorgiou, M. and Kosmatopoulos, E. (2009) Store-and-forward based methods for the signal control problem in large-scale congested urban road networks. Transportation Research Part C: Emerging Technologies, 17(2), pp. 163-174. (doi: 10.1016/j.trc.2008.10.002)

Abstract

The problem of designing network-wide traffic signal control strategies for large-scale congested urban road networks is considered. One known and two novel methodologies, all based on the store-and-forward modeling paradigm, are presented and compared. The known methodology is a linear multivariable feedback regulator derived through the formulation of a linear-quadratic optimal control problem. An alternative, novel methodology consists of an open-loop constrained quadratic optimal control problem, whose numerical solution is achieved via quadratic programming. Yet a different formulation leads to an open-loop constrained nonlinear optimal control problem, whose numerical solution is achieved by use of a feasible-direction algorithm. A preliminary simulation-based investigation of the signal control problem for a large-scale urban road network using these methodologies demonstrates the comparative efficiency and real-time feasibility of the developed signal control methods.

• Item Type: Articles
• Additional Information: NOTICE: this is the author’s version of a work that was accepted for publication in Transportation Research Part C: Emerging Technologies. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Transportation Research Part C: Emerging Technologies, 17(2), 2009. http://dx.doi.org/10.1016/j.trc.2008.10.002.
• Keywords: Traffic signal control, traffic congestion, store-and-forward modeling, control methods in transportation systems
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Ampountolas, Dr Konstantinos
• Authors: Aboudolas, K., Papageorgiou, M., and Kosmatopoulos, E.
• College/School: College of Science and Engineering > School of Engineering > Infrastructure and Environment
• Journal Name: Transportation Research Part C: Emerging Technologies
• Publisher: Elsevier
• ISSN: 0968-090X
• ISSN (Online): 1879-2359
• Copyright Holders: Copyright © 2008 Elsevier
• First Published: First published in Transportation Research Part C: Emerging Technologies 17(2):163-174
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher