Traffic Flow Prediction with Rainfall Impact Using a Deep Learning Method
Accurate traffic flow prediction is increasingly essential for successful traffic modeling, operation, and management. Traditional data driven traffic flow prediction approaches have largely assumed restrictive (shallow) model architectures and do not leverage the large amount of environmental data...
Saved in:
Main Authors: | Yuhan Jia, Jianping Wu, Ming Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2017/6575947 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Deep Learning Based Traffic State Estimation Method for Mixed Traffic Flow Environment
by: Fan Ding, et al.
Published: (2022-01-01) -
Adaptive Traffic Signal Control Model on Intersections Based on Deep Reinforcement Learning
by: Duowei Li, et al.
Published: (2020-01-01) -
Method of Evaluating and Predicting Traffic State of Highway Network Based on Deep Learning
by: Jiayu Liu, et al.
Published: (2021-01-01) -
Research on the Application of Reinforcement Learning in Traffic Flow Prediction
by: Hu Yiquan
Published: (2025-01-01) -
Short-Term Traffic Flow Prediction with Weather Conditions: Based on Deep Learning Algorithms and Data Fusion
by: Yue Hou, et al.
Published: (2021-01-01)