Multi-Gated Perimeter Flow Control of Transport Networks

Mat Jusoh, R. and Ampountolas, K. (2017) Multi-Gated Perimeter Flow Control of Transport Networks. In: 25th Mediterranean Conference on Control and Automation (MED), Valletta, Malta, 3-6 July 2017, pp. 731-736. ISBN 9781509045334 (doi: 10.1109/MED.2017.7984205)

Abstract

This paper develops a control scheme for the multi-gated perimeter traffic flow control problem of urban road networks. The proposed scheme determines optimally distributed input flows (or feasible entrance link green times) for a number of gates located at the periphery of a protected network area. A macroscopic model is employed to describe the traffic dynamics of the protected network. To describe traffic dynamics outside of the protected area, we augment the basic state-space model with additional state variables to account for the queues at store-and-forward origin links at the periphery. We aim to equalise the relative queues at origin links and maintain the vehicle accumulation in the protected network around a desired point, while the system's throughput is maximised. The perimeter traffic flow control problem is formulated as a convex optimal control problem with constrained control and state variables. For real-time control, the optimal control problem is embedded in a rolling-horizon scheme using the current state of the whole system as the initial state as well as predicted demand flows at entrance links. A meticulous simulation study is carried out for a 2.5 square mile protected network area of San Francisco, CA, including fifteen gates of different geometric characteristics. Results demonstrate the efficiency and equity properties of the proposed approach to better manage excessive queues outside of the protected network area and optimally distribute the input flows.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: BINTI MAT JUSOH, RUZANNA and Ampountolas, Dr Konstantinos
• Authors: Mat Jusoh, R., and Ampountolas, K.
• College/School: College of Science and Engineering > School of Engineering > Infrastructure and Environment
• ISSN: 2473-3504
• ISBN: 9781509045334
• Copyright Holders: Copyright © 2017 IEEE
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher