QR-Code

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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Alireza Nezhadettehad, Arkady Zaslavsky, Abdur Rakib, Seng W. Loke
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2025-05-01
Schriftenreihe:Sensors
Schlagworte:
Bayesian neural networks
uncertainty quantification
parking availability prediction
intelligent transportation systems
epistemic uncertainty
aleatoric uncertainty
Online-Zugang:https://www.mdpi.com/1424-8220/25/11/3463
Tags: Tag hinzufügen
Keine Tags, Fügen Sie das erste Tag hinzu!

Ähnliche Einträge