FedPark: A Federated Learning Crowdsensing Solution for On-Street Parking Availability

FedPark: A Federated Learning Crowdsensing Solution for On-Street Parking Availability

Locating available on-street parking in busy urban areas is often frustrating and time-consuming, particularly during peak hours. Inefficient parking searches contribute to traffic congestion, increased fuel consumption, and higher carbon emissions, making real-time parking availability information...

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Bibliographic Details
Main Authors: Afraa Attiah, Shatha Alahmadi, Abeer Hakeem, Linda Mohaisen, Abeer Almakky, Reemah M. Alhebshi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Crowdsensing
federated learning
machine learning
on-street parking
privacy protection
urban mobility
Online Access:https://ieeexplore.ieee.org/document/11027062/
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https://ieeexplore.ieee.org/document/11027062/

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