Print Email Facebook Twitter Distributed Model-Free Adaptive Predictive Control for Urban Traffic Networks Title Distributed Model-Free Adaptive Predictive Control for Urban Traffic Networks Author Li, D. (Beijing Jiaotong University) De Schutter, B.H.K. (TU Delft Delft Center for Systems and Control; TU Delft Team Bart De Schutter) Department Delft Center for Systems and Control Date 2022 Abstract Data-driven control without using mathematical models is a promising research direction for urban traffic control due to the massive amounts of traffic data generated every day. This article proposes a novel distributed model-free adaptive predictive control (D-MFAPC) approach for multiregion urban traffic networks. More specifically, the traffic dynamics of the network regions are first transformed into MFAPC data models, and then, the derived MFAPC data models instead of mathematical traffic models serve as the prediction models in the distributed control design. The formulated control problem is finally solved with an alternating direction method of multipliers (ADMM)-based approach. The simulation results for the traffic network of Linfen, Shanxi, China, show the feasibility and effectiveness of the proposed method. Subject Adaptation modelsComputational modelingData modelsData-driven controldistributed model predictive control (DMPC)macroscopic fundamental diagram (MFD)Mathematical modelmodel-free adaptive predictive control (MFAPC)Predictive controlPredictive modelsurban traffic network control.Vehicle dynamics To reference this document use: http://resolver.tudelft.nl/uuid:cc180e06-28b4-4a95-842b-b305f2541391 DOI https://doi.org/10.1109/TCST.2021.3059460 Embargo date 2023-07-01 ISSN 1063-6536 Source IEEE Transactions on Control Systems Technology, 30 (1), 180-192 Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2022 D. Li, B.H.K. De Schutter Files PDF Distributed_Model_Free_Ad ... tworks.pdf 2.35 MB Close viewer /islandora/object/uuid:cc180e06-28b4-4a95-842b-b305f2541391/datastream/OBJ/view