Road network traffic flow prediction: A personalized federated learning method based on client reputation
Published in Computers and Electrical Engineering, 2024
Recommended citation: Dai, G., Tang, J., Zeng, J., Hu, C., & Zhao, C. (2024). Road network traffic flow prediction: A personalized federated learning method based on client reputation. Computers and Electrical Engineering, 120, 109678. https://www.sciencedirect.com/science/article/pii/S0045790624006050
Accurate traffic flow prediction can provide effective decision-making support for traffic management, alleviate traffic congestion, and improve road traffic efficiency. Traffic flow data contains personal privacy information, such as vehicle trajectories, driving speed, etc. However, most existing research focuses on using all local data to jointly construct prediction models, facing data security and privacy issues. … The experimental results indicate that the method can achieve good prediction performance and stability while protecting the privacy of all participants.
Recommended citation: Dai, G., Tang, J., Zeng, J., Hu, C., & Zhao, C. (2024). Road network traffic flow prediction: A personalized federated learning method based on client reputation. Computers and Electrical Engineering, 120, 109678.