paper
2022
Local & station forecasting
Applications & impacts New model or method
RNN / LSTM / ConvLSTM0–6 h Journal
2022-11-16
008
Nov 2022
Bingyou Dai, Wenchen Yang, Xiaofeng Ji et al.
Journal of Transportation Engineering Part B Pavements
Ensemble GRU-LSTM model predicts road surface temperature 1 to 6 hours ahead from station data, lowering MAE versus CNN-LSTM and SVR baselines.
An Ensemble Deep Learning Model for Short-Term Road Surface Temperature Prediction
In one sentence. Ensemble GRU-LSTM model predicts road surface temperature 1 to 6 hours ahead from station data, lowering MAE versus CNN-LSTM and SVR baselines.
Labels
- Topic
- Local & station forecasting, Applications & impacts
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM
- Time scale
- 0–6 h
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1061/jpeodx.pveng-1192 OpenAlex:W4309336610
- Added
- 2026-10-22
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