Skip to content
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Home
Journals
Applied Mathematics and Nonlinear Sciences
Volume 10 (2025): Issue 1 (January 2025)
Open Access
Traffic Flow Prediction Using Deep Learning Techniques in Urban Road Networks
Yilin Han
Yilin Han
Information Science and Technology School, Xian North West University
Xi'an, China
Search for this author on
Sciendo
|
Google Scholar
Han, Yilin
Mar 17, 2025
Applied Mathematics and Nonlinear Sciences
Volume 10 (2025): Issue 1 (January 2025)
About this article
Previous Article
Next Article
Abstract
Article
Figures & Tables
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Mar 17, 2025
Received:
Oct 15, 2024
Accepted:
Feb 12, 2025
DOI:
https://doi.org/10.2478/amns-2025-0832
Keywords
Traffic Flow Prediction
,
Deep Learning
,
Urban Road Networks
,
Graph Neural Networks (GNN)
,
Long Short-Term Memory (LSTM)
,
Transformer Models
,
Smart City
,
Spatial-Temporal Analysis
© 2025 Yilin Han, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.