A Decomposition and Attention Fusion Approach for Traffic Flow Forecasting Using Multimodal Deep Learning

Mapping Intimacies ◽

10.1061/9780784483565.022 ◽

2021 ◽

Author(s):

Tuo Sun ◽

Wanjing Ma ◽

Bo Sun ◽

Ling Wang

Keyword(s):

Deep Learning ◽

Traffic Flow ◽

Traffic Flow Forecasting ◽

Fusion Approach

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Spatial-temporal Structures of Deep Learning Models for Traffic Flow Forecasting: A Survey

10.1109/icoias53694.2021.00041 ◽

2021 ◽

Author(s):

Qingsong Luo ◽

Yimin Zhou

Keyword(s):

Deep Learning ◽

Traffic Flow ◽

Learning Models ◽

Traffic Flow Forecasting ◽

Temporal Structures

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A Multi-Parameter Chaotic Fusion Approach for Traffic Flow Forecasting

IEEE Access ◽

10.1109/access.2020.3043777 ◽

2020 ◽

Vol 8 ◽

pp. 222774-222781

Author(s):

Qinglu Ma ◽

Guang Hao Huang ◽

Saleem Ullah

Keyword(s):

Traffic Flow ◽

Traffic Flow Forecasting ◽

Fusion Approach

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Spatiotemporal Traffic Flow Forecasting for PHETs Based on Data Mining and Deep Learning

2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) ◽

10.1109/isspit47144.2019.9001881 ◽

2019 ◽

Author(s):

Xiangzhou Luo ◽

Xushan Qing ◽

Huimiao Chen

Keyword(s):

Data Mining ◽

Deep Learning ◽

Traffic Flow ◽

Traffic Flow Forecasting

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Optimized Structure of the Traffic Flow Forecasting Model With a Deep Learning Approach

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2016.2574840 ◽

2017 ◽

Vol 28 (10) ◽

pp. 2371-2381 ◽

Author(s):

Hao-Fan Yang ◽

Tharam S. Dillon ◽

Yi-Ping Phoebe Chen

Keyword(s):

Deep Learning ◽

Traffic Flow ◽

Forecasting Model ◽

Learning Approach ◽

Traffic Flow Forecasting

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A parallel spatiotemporal deep learning network for highway traffic flow forecasting

International Journal of Distributed Sensor Networks ◽

10.1177/1550147719832792 ◽

2019 ◽

Vol 15 (2) ◽

pp. 155014771983279 ◽

Author(s):

Dongxiao Han ◽

Juan Chen ◽

Jian Sun

Keyword(s):

Deep Learning ◽

Traffic Flow ◽

Highway Traffic ◽

Learning Network ◽

Traffic Flow Forecasting ◽

Deep Learning Network

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A Novel Deep Learning Model Based on the Improved Loss Function for Traffic Flow Forecasting

10.1007/978-981-16-6324-6_27 ◽

2021 ◽

pp. 260-268

Author(s):

Wanpeng Wu ◽

Wuneng Zhou ◽

You Wu ◽

Xuan Gu ◽

Guang Yang

Keyword(s):

Deep Learning ◽

Traffic Flow ◽

Loss Function ◽

Learning Model ◽

Model Based ◽

Traffic Flow Forecasting ◽

Deep Learning Model

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A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning

International Journal of Computational Intelligence Systems ◽

10.2991/ijcis.d.200120.001 ◽

2020 ◽

Vol 13 (1) ◽

pp. 85 ◽

Author(s):

Shengdong Du ◽

Tianrui Li ◽

Xun Gong ◽

Shi-Jinn Horng

Keyword(s):

Deep Learning ◽

Traffic Flow ◽

Hybrid Method ◽

Traffic Flow Forecasting

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Attention meets long short-term memory: A deep learning network for traffic flow forecasting

Physica A Statistical Mechanics and its Applications ◽

10.1016/j.physa.2021.126485 ◽

2021 ◽

pp. 126485

Author(s):

Weiwei Fang ◽

Wenhao Zhuo ◽

Jingwen Yan ◽

Youyi Song ◽

Dazhi Jiang ◽

...

Keyword(s):

Deep Learning ◽

Traffic Flow ◽

Short Term Memory ◽

Term Memory ◽

Learning Network ◽

Traffic Flow Forecasting ◽

Long Short Term Memory ◽

Deep Learning Network

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Traffic flow forecasting based on hybrid deep learning framework

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) ◽

10.1109/iske.2017.8258813 ◽

2017 ◽

Author(s):

Shengdong Du ◽

Tianrui Li ◽

Xun Gong ◽

Yan Yang ◽

Shi Jinn Horng

Keyword(s):

Deep Learning ◽

Traffic Flow ◽

Learning Framework ◽

Traffic Flow Forecasting

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Method for estimating network structure of short-term traffic flow forecasting model

Journal of Computer Applications ◽

10.3724/sp.j.1087.2009.03249 ◽

2010 ◽

Vol 29 (12) ◽

pp. 3249-3252

Author(s):

Ying XIA ◽

Zhong-jun LIANG

Keyword(s):

Traffic Flow ◽

Network Structure ◽

Forecasting Model ◽

Traffic Flow Forecasting

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