A Combined Deep Learning Method with Attention-Based LSTM Model for Short-Term Traffic Speed Forecasting

A Combined Deep Learning Method with Attention-Based LSTM Model for Short-Term Traffic Speed Forecasting

Short-term traffic speed prediction is a promising research topic in intelligent transportation systems (ITSs), which also plays an important role in the real-time decision-making of traffic control and guidance systems. However, the urban traffic speed has strong temporal, spatial correlation and t...

Full description

Saved in:

Bibliographic Details
Main Authors:	Pan Wu, Zilin Huang, Yuzhuang Pian, Lunhui Xu, Jinlong Li, Kaixun Chen
Format:	Article
Language:	English
Published:	Wiley 2020-01-01
Series:	Journal of Advanced Transportation
Online Access:	http://dx.doi.org/10.1155/2020/8863724
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FBiLSTM-Attention short-term load forecasting based on fuzzy logic
by: Yan ZHANG, et al.
Published: (2025-02-01)

Short-Term Wind Speed Forecasting With Deep Learning
by: Zeynep Mine Alçin, et al.
Published: (2025-02-01)

Network level spatial temporal traffic forecasting with Hierarchical-Attention-LSTM
by: Tianya Zhang
Published: (2024-12-01)

Short-Term Load Forecasting Based on EEMD-WOA-LSTM Combination Model
by: Lei Shao, et al.
Published: (2022-01-01)

Short-term Load Forecasting Based on CNN-LSTM with Quadratic Decomposition Combined
by: DENG Bowen, et al.
Published: (2023-08-01)

Hybrid CNN–LSTM Model With Soft Attention Mechanism for Short‐Term Load Forecasting in Smart Grid
by: Syed Muhammad Hasanat, et al.
Published: (2025-05-01)

Unidirectional and Bidirectional LSTM Models for Short-Term Traffic Prediction
by: Rusul L. Abduljabbar, et al.
Published: (2021-01-01)

A Multivariate LSTM Model for Short-Term Water Demand Forecasting
by: Aly K. Salem, et al.
Published: (2024-09-01)

GRU-LSTM model based on the SSA for short-term traffic flow prediction
by: Changxi Ma, et al.
Published: (2025-03-01)

Short-Term Traffic Flow Prediction: A Method of Combined Deep Learnings
by: Chuanxiang Ren, et al.
Published: (2021-01-01)

An Integrated CEEMDAN to Optimize Deep Long Short-Term Memory Model for Wind Speed Forecasting
by: Yingying He, et al.
Published: (2024-09-01)

Ultra-Short-Term Wind Power Forecasting Based on the MSADBO-LSTM Model
by: Ziquan Zhao, et al.
Published: (2024-11-01)

Research on short-term traffic flow prediction based on the PCC-IGA-LSTM model
by: Junxi Zhang, et al.
Published: (2025-04-01)

Short-Term Electricity Price Forecasting Using the Empirical Mode Decomposed Hilbert-LSTM and Wavelet-LSTM Models
by: Kunal Shejul, et al.
Published: (2024-01-01)

A Hybrid Approach for Short-Term Forecasting of Wind Speed
by: Sivanagaraja Tatinati, et al.
Published: (2013-01-01)

EOST-LSTM: Long Short-Term Memory Model Combined with Attention Module and Full-Dimensional Dynamic Convolution Module
by: Guangxin He, et al.
Published: (2025-03-01)

Using Upstream and Downstream Traffic Information for Short term Traffic Flow Prediction Based on LSTM Recurrent Neural Network
by: MAN Chun-tao, et al.
Published: (2019-10-01)

GSA-KAN: A Hybrid Model for Short-Term Traffic Forecasting
by: Zhizhe Lin, et al.
Published: (2025-03-01)

Hybrid Extreme Learning for Reliable Short-Term Traffic Flow Forecasting
by: Huayuan Chen, et al.
Published: (2024-10-01)

Short-Term Traffic Flow Forecasting Model Based on GA-TCN
by: Rongji Zhang, et al.
Published: (2021-01-01)

Short-Term Sales Forecasting Using LSTM and Prophet Based Models in E-Commerce
by: Alp Ecevit, et al.
Published: (2023-06-01)

Short-Term Water Demand Forecasting Based on LSTM Using Multi-Input Data
by: Dingtong Wang, et al.
Published: (2024-09-01)

A Noise-Immune Boosting Framework for Short-Term Traffic Flow Forecasting
by: Shiqiang Zheng, et al.
Published: (2021-01-01)

Stacked LSTM for Short-Term Wind Power Forecasting Using Multivariate Time Series Data
by: Manisha Galphade, et al.
Published: (2025-06-01)

Short-Term Wind Speed Forecasting Using Decomposition-Based Neural Networks Combining Abnormal Detection Method
by: Xuejun Chen, et al.
Published: (2014-01-01)

A study on short-term vegetable price prediction based on the CNN-LSTM-Attention model
by: Weijia Bao, et al.
Published: (2025-06-01)

Mixture correntropy with variable center LSTM network for traffic flow forecasting
by: Weiwei Fang, et al.
Published: (2024-12-01)

Forecasting Alisadr Cave Tourism Demand using Combination of Short-term and Long-term Forecasts
by: Elaheh Malekzadeh Hamedani, et al.
Published: (2022-07-01)

An Improved Short-Term Electricity Load Forecasting Method: The VMD–KPCA–xLSTM–Informer Model
by: Jiawen You, et al.
Published: (2025-04-01)

PERFORMANCE ANALYSIS OF LSTM MODEL WITH MULTI-STEP AHEAD STRATEGIES FOR A SHORT-TERM TRAFFIC FLOW PREDICTION
by: Erdem DOĞAN
Published: (2021-06-01)

Enhancing wind power forecasting accuracy through LSTM with adaptive wind speed calibration (C-LSTM)
by: Ding Wang, et al.
Published: (2025-02-01)

Short-Term Traffic Flow Forecasting Method Based on LSSVM Model Optimized by GA-PSO Hybrid Algorithm
by: Qichun Bing, et al.
Published: (2018-01-01)

A combined model for short-term traffic flow prediction based on variational modal decomposition and deep learning
by: Chuanxiang Ren, et al.
Published: (2025-05-01)

Short-term forecast of wind power based on the division of wind speed fluctuation characteristics
by: QIAO Titang, et al.
Published: (2025-05-01)

Robust Short-Term Wind Speed Forecasting Using Adaptive Shallow Neural Networks
by: Matrenin P.V., et al.
Published: (2020-09-01)

A Temporal Attention-Based SARIMA-BiLSTM Residual Learning Model Tuned by Grey Wolf Optimizer for Parallel Urban Traffic Forecasting
by: Manas Kamal Das, et al.
Published: (2025-01-01)

Attention Mechanism with Spatial-Temporal Joint Deep Learning Model for the Forecasting of Short-Term Passenger Flow Distribution at the Railway Station
by: Zhicheng Dai, et al.
Published: (2024-01-01)

Short term traffic flow prediction and timing optimization at signalized intersections based on SG-LSTM and particle swarm optimization
by: Lei Yang, et al.
Published: (2024-12-01)

Research on Short-Term Load Forecasting of LSTM Regional Power Grid Based on Multi-Source Parameter Coupling
by: Bo Li, et al.
Published: (2025-01-01)

Short-Term Wind Power Forecast Based on CNN&LSTM-GRU Model Integrated with CEEMD-SE Algorithm
by: Guohua YANG, et al.
Published: (2024-02-01)