Comparative Study on Traffic Prediction Using Different Models
Traffic flow prediction (TFP) is a complex and critical field that is of great significance for urban planning, management, and resource allocation. This paper discusses the development history and optimization strategies of TFP models. This paper first introduces the importance of TFP and outlines...
Saved in:
Main Author: | Jiao Zhtiofan |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2025-01-01
|
Series: | ITM Web of Conferences |
Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_01001.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Advanced Network Traffic Prediction Using Deep Learning Techniques: A Comparative Study of SVR, LSTM, GRU, and Bidirectional LSTM Models
by: Wang Yuxin
Published: (2025-01-01) -
The Applications and Prospects of Large Language Models in Traffic Flow Prediction
by: Liu Yuxuan
Published: (2025-01-01) -
Traffic Flow Prediction Based on Large Language Models and Future Development Directions
by: Zhang Muhua, et al.
Published: (2025-01-01) -
Comparative use of different AI methods for the prediction of concrete compressive strength
by: Mouhamadou Amar
Published: (2025-03-01) -
IoT in Urban Traffic Prediction Development Case Studies and Future Trends
by: Wang Renhe
Published: (2025-01-01)