Forecasting of Bicycle and Pedestrian Traffic Using Flexible and Efficient Hybrid Deep Learning Approach

Recently, increasing interest in managing pedestrian and bicycle flows has been demonstrated by cities and transportation professionals aiming to reach community goals related to health, safety, and the environment. Precise forecasting of pedestrian and bicycle traffic flow is crucial for identifyin...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Fouzi Harrou, Abdelkader Dairi, Abdelhafid Zeroual, Ying Sun
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2022-04-01
Schriftenreihe:Applied Sciences
Schlagworte:
variational autoencoder
self-attention
hybrid deep learning
traffic flow forecasting
Online Zugang:https://www.mdpi.com/2076-3417/12/9/4482
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge