Adaptive performance optimization for large-scale traffic control systems

Kouvelas, A., Aboudolas, K. , Kosmatopoulos, E. B. and Papageorgiou, M. (2011) Adaptive performance optimization for large-scale traffic control systems. IEEE Transactions on Intelligent Transportation Systems, 12(4), pp. 1434-1445. (doi: 10.1109/TITS.2011.2159002)

Abstract

In this paper, we study the problem of optimizing (fine-tuning) the design parameters of large-scale traffic control systems that are composed of distinct and mutually interacting modules. This problem usually requires a considerable amount of human effort and time to devote to the successful deployment and operation of traffic control systems due to the lack of an automated well-established systematic approach. We investigate the adaptive fine-tuning algorithm for determining the set of design parameters of two distinct mutually interacting modules of the traffic-responsive urban control (TUC) strategy, i.e., split and cycle, for the large-scale urban road network of the city of Chania, Greece. Simulation results are presented, demonstrating that the network performance in terms of the daily mean speed, which is attained by the proposed adaptive optimization methodology, is significantly better than the original TUC system in the case in which the aforementioned design parameters are manually fine-tuned to virtual perfection by the system operators.

• 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: Adaptive control, algorithm design and analysis, approximation methods, optimization, system performance, traffic control
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Ampountolas, Dr Konstantinos
• Authors: Kouvelas, A., Aboudolas, K., Kosmatopoulos, E. B., and Papageorgiou, M.
• 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(4):1434-1445
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher