A hybrid strategy for real-time traffic signal control of urban road networks

Kouvelas, A., Aboudolas, K. , Papageorgiou, M. and Kosmatopoulos, E.B. (2011) A hybrid strategy for real-time traffic signal control of urban road networks. IEEE Transactions on Intelligent Transportation Systems, 12(3), pp. 884-894. (doi: 10.1109/TITS.2011.2116156)

Abstract

The recently developed traffic signal control strategy known as traffic-responsive urban control (TUC) requires availability of a fixed signal plan that is sufficiently efficient under undersaturated traffic conditions. To drop this requirement, the well-known Webster procedure for fixed-signal control derivation at isolated junctions is appropriately employed for real-time operation based on measured flows. It is demonstrated via simulation experiments and field application that the following hold: 1) The developed real-time demand-based approach is a viable real-time signal control strategy for undersaturated traffic conditions. 2) It can indeed be used within TUC to drop the requirement for a prespecified fixed signal plan. 3) It may, under certain conditions, contribute to more efficient results, compared with the original TUC method.

• Item Type: Articles
• Additional Information: © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
• Keywords: Real-time signal control, traffic-responsive urban control (TUC) signal control strategy, Webster formula, traffic signal control
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Ampountolas, Dr Konstantinos
• Authors: Kouvelas, A., Aboudolas, K., Papageorgiou, M., and Kosmatopoulos, E.B.
• College/School: College of Science and Engineering > School of Engineering > Infrastructure and Environment
• Journal Name: IEEE Transactions on Intelligent Transportation Systems
• Publisher: IEEE
• ISSN: 1524-9050
• ISSN (Online): 1558-0016
• Copyright Holders: Copyright © 2011 IEEE
• First Published: First published in IEEE Transactions on Intelligent Transportation Systems 12(3):884-894
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher