The Application Prospects of Event Data in Traffic Flow Prediction
Conventional methods of predicting traffic flow can often be based on weekdays, certain holidays, road conditions, or signal light circumstances. Nevertheless, because there isn’t always an impact study done for some exceptional occurrences, these forecasting techniques or models might be ineffectiv...
Saved in:
Main Authors: | Chen Haochi, Guo Zixin, Jiang Zicong |
---|---|
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_01011.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Applications and Prospects of Large Language Models in Traffic Flow Prediction
by: Liu Yuxuan
Published: (2025-01-01) -
The Application of Reinforcement Learning in Traffic Flow Prediction: Advantages, Problems, and Prospects
by: Li Minghui, et al.
Published: (2025-01-01) -
Research on the Application of Reinforcement Learning in Traffic Flow Prediction
by: Hu Yiquan
Published: (2025-01-01) -
High-Speed Data-Driven Methodology for Real-Time Traffic Flow Predictions: Practical Applications of ITS
by: Hyun-ho Chang, et al.
Published: (2018-01-01) -
Application of Data Science Technologies in Intelligent Prediction of Traffic Congestion
by: Xu Yang, et al.
Published: (2019-01-01)