Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies

Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies

The smart city traffic management domain is perpetually a crucial sector that requires innovative strategies due to expanding urbanization and vehicle use. In this study, we have introduced a traffic prediction and handling system that utilizes Temporal Convolutional Networks (TCNs) combined with Fe...

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Bibliographic Details
Main Authors: K. M. Karthick Raghunath, C. Rohith Bhat, Venkatesan Vinoth Kumar, Velmurugan Athiyoor Kannan, T. R. Mahesh, K. Manikandan, N. Krishnamoorthy
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Decentralized learning
mobile patterns
transport
traffic prediction
accuracy
normalization
Online Access:https://ieeexplore.ieee.org/document/10636149/
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https://ieeexplore.ieee.org/document/10636149/

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