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Uncertainty-Aware Parking Prediction Using Bayesian Neural Networks

Parking availability prediction is a critical component of intelligent transportation systems, aiming to reduce congestion and improve urban mobility. While traditional deep learning models such as Long Short-Term Memory (LSTM) networks have been widely applied, they lack mechanisms to quantify unce...

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Uloženo v:
Hlavní autoři: Alireza Nezhadettehad, Arkady Zaslavsky, Abdur Rakib, Seng W. Loke
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2025-05-01
Edice:Sensors
Témata:
Bayesian neural networks
uncertainty quantification
parking availability prediction
intelligent transportation systems
epistemic uncertainty
aleatoric uncertainty
On-line přístup:https://www.mdpi.com/1424-8220/25/11/3463
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