Urban Traffic Travel Time Short-Term Prediction Model Based on Spatio-Temporal Feature Extraction
In order to improve the accuracy of short-term travel time prediction in an urban road network, a hybrid model for spatio-temporal feature extraction and prediction of urban road network travel time is proposed in this research, which combines empirical dynamic modeling (EDM) and complex networks (C...
Saved in:
| Main Authors: | Leilei Kang, Guojing Hu, Hao Huang, Weike Lu, Lan Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/3247847 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Early detection of risky spatio-temporal congestion in urban traffic
by: Shaobo Sui, et al.
Published: (2025-01-01) -
Multi-scale spatio-temporal graph neural network for urban traffic flow prediction
by: Hui Chen, et al.
Published: (2025-07-01) -
Spatio-Temporal AI Modeling for Urban Traffic Calibration: A SUMO-Based Approach
by: Pablo Manglano-Redondo, et al.
Published: (2025-07-01) -
Urban traffic flow prediction based on the multisource heterogeneous spatio-temporal data fusion
by: Yang AN, et al.
Published: (2023-07-01) -
MIESTC: A Multivariable Spatio-Temporal Model for Accurate Short-Term Wind Speed Forecasting
by: Shaohan Li, et al.
Published: (2025-01-01)