Adaptive Control Strategies for Urban Network Traffic via a Decentralized Approach With User-Optimal Routing

Abstract

This paper presents an adaptive linear quadratic optimal traffic control system. The control strategies are solved via a decentralized approach and complemented with a user-optimal network traffic router. The user-optimal routing algorithm assists drivers respond to prevailing traffic state and control settings and seek the quickest route toward their destinations. The proposed control system is implemented and tested over different scenario settings including a real life scenario in Central London, UK. The study reveals that the proposed system could coverage to a performance similar to its centralized counterpart with the routing algorithm even under congested conditions. This highlights the potential of decentralized control with effective travel guidance in cooperative traffic management.