An Efficient Optimization Approach to Real-Time Coordinated and Integrated Freeway Traffic Control

Abstract

This paper tackles the problem of real-time optimal control of traffic flow in a freeway network deployed with coordinated and integrated traffic controllers. One promising approach to this problem is casting the underlying dynamic control problem in a model predictive framework. The challenge is that the resulting optimization problem is computationally intractable for online applications in a network with a large number of controllers. In this paper, a game-theoretic approach with distributed controllers is proposed to address the foregoing issue. The efficiency of the proposed method is tested for a coordinated ramp metering and variable-speed limit control applied to a stretch of freeway network. The parallel nature of the optimization algorithm makes it suitable for solving large-scale problems with high accuracy. The speed and accuracy of the proposed solution approach are examined and compared with that of the conventional optimization method in a case study to demonstrate its superior performance.

DOI: 10.1109/TITS.2010.2055857

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Cite this paper

@article{Ghods2010AnEO, title={An Efficient Optimization Approach to Real-Time Coordinated and Integrated Freeway Traffic Control}, author={Amir Hosein Ghods and Liping Fu and Ashkan Rahimi-Kian}, journal={IEEE Transactions on Intelligent Transportation Systems}, year={2010}, volume={11}, pages={873-884} }