Adaptive performance optimization for large-scale traffic control systems

Kouvelas, A., Kosmatopoulos, E.B., Papageorgiou, M. and Aboudolas, K. (2009) Adaptive performance optimization for large-scale traffic control systems. In: 12th IFAC Symposium on Transportation Systems, Redondo, CA, USA, 2-4 Sep 2009, pp. 76-83. ISBN 9783902661500 (doi: 10.3182/20090902-3-US-2007.0037)

Abstract

The majority of practical Large-Scale Traffic Control Systems (LSTCSs) requires the optimization (fine-tuning) of their design parameters. A tremendous amount of human effort and time is spent for optimization of the overall LSTCS, which is usually performed by experienced personnel in the lack of an automated - well established – systematic approach. This paper, investigates the efficiency of the Adaptive Fine-Tuning algorithm, when applied for automated fine-tuning of an urban traffic LSTCS with mutually-interacting control modules, each one with its distinct design parameters. The approach of AFT is based on a recently proposed Adaptive Optimization (AO) methodology that is aiming at replacing the manually-based optimization by a fully-automated procedure and is proven – using rigorous mathematical arguments – to provide with safe and reliable, efficient and rapid optimization of general LSTCSs. Simulations results demonstrate the efficiency of the proposed approach when applied to the simultaneous fine-tuning of two mutually-interacting LSTCS control modules.

• Item Type: Conference Proceedings
• Keywords: Adaptive fine-tuning, adaptive control, optimization, ramp metering, traffic signal control
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Ampountolas, Dr Konstantinos
• Authors: Kouvelas, A., Kosmatopoulos, E.B., Papageorgiou, M., and Aboudolas, K.
• College/School: College of Science and Engineering > School of Engineering > Infrastructure and Environment
• ISSN: 1474-6670
• ISBN: 9783902661500