Tesone, Alessio and Tettamanti, Tamás and Varga, Balázs and Bifulco, Gennaro Nicola and Pariota, Luigi (2024) Multiobjective Model Predictive Control Based on Urban and Emission Macroscopic Fundamental Diagrams. IEEE ACCESS, 12. pp. 52583-52602. ISSN 2169-3536 10.1109/ACCESS.2024.3387664

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Abstract

Increasing motorization represents a severe problem worldwide, also affecting the emission levels of the road network. Accordingly, congestion management has obtained growing importance because of its strong economic, social, and environmental implications. Macroscopic Fundamental Diagram (MFD) based traffic control is a popular and efficient approach in this scientific field. In our research work the urban network has been divided into homogeneous regions, each of them characterized by its own MFD, and they are regulated using a network-level control scheme. The proposed Multiobjective Model Predictive Control (M-MPC) takes into account the congestion and <italic>CO</italic>2 emission levels of the urban network, modelled by the emerging Emission Macroscopic Fundamental Diagram (e-MFD). The applied strategy has been demonstrated in a realistic traffic scenario (Luxembourg City) using validated microscopic traffic simulation. According to the introduced multiobjective approach, the control method can better exploit the road network capacity while efficiently reducing traffic-induced emissions. Authors

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 May 2024 07:06
Last Modified:	09 May 2024 07:06
URI:	https://eprints.sztaki.hu/id/eprint/10720

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