Abdi, Arshia and Moaveni, Bijan and Tettamanti, Tamás (2026) LMI-based adaptive-robust traffic signal control with disturbance feedforward for mixed traffic with CAVs. ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH, 80. ISSN 2215-0986 10.1016/j.jestch.2026.102412

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Abstract

This study develops a two-level adaptive-robust traffic signal control architecture that combines an LMI-synthesized, intersection-level robust state-feedback regulator with a measurable inflow feedforward channel and a Connected and Autonomous Vehicle (CAV)-aware operational layer. The proposed adaptive-robust LMI-based control method considers the uncertainty as the effect of saturation flow via a small polytopic set and enforces a quadratic Lyapunov certificate via LMIs to guarantee uniform exponential queue regulation across the modeled vertices. A key innovation of this approach is the inclusion of a measurable disturbance feedforward mechanism that proactively compensates for short-horizon inflow surges, thereby reducing the reactive burden on the feedback loop. Furthermore, the control strategy features a CAV-aware adaptive operational layer that dynamically adjusts the conservatism of the robust synthesis based on real-time traffic composition, switching to a lightweight LQR fallback when necessary. The proposed method is validated using real traffic data from Tehran city, mimicked within a validated microsimulation (SUMO) environment. Comparative experiments demonstrate that the proposed control method significantly outperforms in reducing delays and emissions. Additionally, computational feasibility (milliseconds execution time) is guaranteed compared to the high latency of AI-based approaches.

Item Type:	Article
Subjects:	Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions:	Systems and Control Lab
SWORD Depositor:	MTMT Injector
Depositing User:	MTMT Injector
Date Deposited:	09 Sep 2026 09:04
Last Modified:	09 Sep 2026 09:04
URI:	https://eprints.sztaki.hu/id/eprint/11132

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