FedDDPG: A reinforcement learning method for federated learning-based vehicle trajectory prediction

FedDDPG: A reinforcement learning method for federated learning-based vehicle trajectory prediction

Vehicle Trajectory Prediction (VTP) plays of critical interest in Internet of Vehicles (IoV) as it greatly benefits motion planning and accident prevention for intelligent transportation. Despite its importance, VTP still faces substantial challenges, particularly in collecting distributed data and...

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Bibliographic Details
Main Authors: Jinlong Li, Ruonan Li, Guojie Ma, Weihong Yang, Hongye Wang, Zhaoquan Gu
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Array
Subjects:
Vehicle trajectory prediction
Internet of Vehicles
Federated Learning
Reinforcement learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2590005625000773
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