Overview of Traffic Flow Forecasting Techniques
Forecasting traffic conditions is critical for modern mobility management. With urbanization and motorization rates rising globally, accurate traffic flow prediction plays a vital role in mitigating congestion, optimizing traffic strategies, and reducing environmental impacts. This paper provides a...
Saved in:
| Main Authors: | Annarita Carianni, Andrea Gemma |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Open Journal of Intelligent Transportation Systems |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11042911/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Building trust for traffic flow forecasting components in intelligent transportation systems via interpretable ensemble learning
by: Jishun Ou, et al.
Published: (2024-09-01) -
APPLYING NEURAL NETWORK TECHNIQUES TO DETERMINE TRAFFIC FLOW REDIRECTION PROPORTIONS IN ROAD NETWORKS
by: Xuan-Hien NGUYEN, et al.
Published: (2025-06-01) -
DPSTCN: Dynamic Pattern-Aware Spatio-Temporal Convolutional Networks for Traffic Flow Forecasting
by: Zeping Dou, et al.
Published: (2024-12-01) -
Research on Support Vector Regression Short-Time Traffic Flow Prediction Model for Secondary Roads Based on Associated Road Analysis
by: Ganglong Duan, et al.
Published: (2025-02-01) -
Frequency Enhanced Dynamic Graph Convolutional Networks for Traffic Flow Forecasting
by: Liyuan Wang, et al.
Published: (2025-01-01)