Decentralized traffic management with Federated Edge AI: a reinforced transnet model for real-time vehicle object detection and collaborative route optimization

Decentralized traffic management with Federated Edge AI: a reinforced transnet model for real-time vehicle object detection and collaborative route optimization

Abstract Urbanization and rising vehicle density have introduced significant challenges to traditional traffic management systems, including high latency, limited scalability, and concerns over data privacy. This study proposes a solution to these issues by developing a decentralized traffic managem...

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Bibliographic Details
Main Authors: C. E. Mohankumar, A. Manikandan
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Applied Sciences
Subjects:
Traffic management
Edge AI
Federated learning (FL)
Reinforcement learning (RL)
Traffic object detection
Route optimization
Online Access:https://doi.org/10.1007/s42452-025-07383-6
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https://doi.org/10.1007/s42452-025-07383-6

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