Federated Learning-Based Travel Time Prediction for Adaptive Congestion Control Using 5G-Assisted Roundabout Traffic Networks

As urbanization accelerates and traffic volumes increase, managing congestion in unsignalized roundabouts becomes increasingly complex, particularly in mixed-traffic environments with human-driven vehicles (HVs), connected and automated vehicles (CAVs), and robotic vehicles (RVs). This study propose...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	V. Subbulakshmi, Shilpa Chaudhari, Sameena Pathan
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2025-01-01
Sarja:	IEEE Access
Aiheet:	Federated learning travel time prediction roundabout traffic control reinforcement learning model predictive control 5G-V2X
Linkit:	https://ieeexplore.ieee.org/document/11151262/
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