Enhancing Traffic Flow in Heterogeneous Freeways: Integration of Multivariable Extremum Seeking and Filtered Feedback Linearization Control

This paper presents a novel control approach for managing traffic flow on heterogeneous freeways, including both human-driven vehicles and autonomous vehicles classes. We introduce an enhanced version of the multi-class METANET model that incorporates state-dependent parameters, enabling a more accu...

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Veröffentlicht in:	IEEE access Jg. 13; S. 129573 - 129587
Hauptverfasser:	Shahri, Pouria Karimi, Rahmanidehkordi, Arash, Ghaffari, Azad, Ghasemi, Amir H.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Control systems Controllers Electronic mail Feedback linearization filtered feedback linearization control freeways traffic flow control Heterogeneous traffic systems Information filters Mathematical models Mechanical engineering multi-variable extremum seeking control Multivariable control Optimal control Roads & highways System effectiveness Traffic congestion Traffic control Traffic flow Traffic models Uncertainty Vehicle dynamics Vehicles
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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