Incremental Gate State Output Decomposition Model for Highway Traffic Forecasting Using Toll Collection Data
Traffic flow on long-distance highways, especially at sections with multi-interchanges and ramps, exhibits nonlinear trends affected by long-term and short-term spatiotemporal dependencies, resulting limited fitting capabilities for the major applied spatiotemporal forecasting models in use. This pa...
Saved in:
| Main Authors: | Liang Yu, Ming Li, Kaifeng Liu, Xiangping Cheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Kaunas University of Technology
2025-02-01
|
| Series: | Elektronika ir Elektrotechnika |
| Subjects: | |
| Online Access: | https://eejournal.ktu.lt/index.php/elt/article/view/38471 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Service levels of highway toll plazas: the influence of factors on manual customer service
by: Josiane Palma Lima, et al.
Published: (2019-11-01) -
Multi-Task Learning-Based Traffic Flow Prediction Through Highway Toll Stations During Holidays
by: Xiaowei Liu, et al.
Published: (2025-07-01) -
Analysis of algorithms for detecting traffic incidents on highways using stationary vehicle detectors
by: D. V. Navoi, et al.
Published: (2024-01-01) -
Influence of Differentiated Tolling Strategies on Route Choice Behavior of Heterogeneous Highway Users
by: Xinyu Dong, et al.
Published: (2025-04-01) -
Modeling and Classification of Random Traffic Patterns for Fatigue Analysis of Highway Bridges
by: Xianglong Zheng, et al.
Published: (2025-07-01)