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Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

Sensors (Basel, Switzerland), 2017-04, Vol.17 (4), p.818

2017

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Interval prediction of short-term traffic speed with limited data input: Application of fuzzy-grey combined prediction model

Expert systems with applications, 2022-01, Vol.187, p.115878, Article 115878

2022

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Multimodal Traffic Speed Monitoring: A Real-Time System Based on Passive Wi-Fi and Bluetooth Sensing Technology

IEEE internet of things journal, 2022-07, Vol.9 (14), p.12413-12424

2022

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FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting

IEEE transactions on industrial informatics, 2021-12, Vol.17 (12), p.8464-8474

2021

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IEEE_Xplore

Rainfall-integrated traffic speed prediction using deep learning method

IET intelligent transport systems, 2017-11, Vol.11 (9), p.531-536

2017

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Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities

IEEE transactions on intelligent transportation systems, 2023-11, Vol.24 (11), p.1-10

2023

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IEEE_Xplore

Multistep traffic speed prediction: A deep learning based approach using latent space mapping considering spatio-temporal dependencies

Expert systems with applications, 2022-03, Vol.189, p.116140, Article 116140

2022

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Link traffic speed forecasting using convolutional attention-based gated recurrent unit

Applied intelligence (Dordrecht, Netherlands), 2021-04, Vol.51 (4), p.2331-2352

2021

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Spatial-Temporal Graph Attention Networks: A Deep Learning Approach for Traffic Forecasting

IEEE access, 2019, Vol.7, p.166246-166256

2019

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Forecasting short-term traffic speed based on multiple attributes of adjacent roads

Knowledge-based systems, 2019-01, Vol.163, p.472-484

2019

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Attention-based Conv-LSTM and Bi-LSTM networks for large-scale traffic speed prediction

The Journal of supercomputing, 2022-07, Vol.78 (10), p.12686-12709

2022

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A CNN-LSTM Model for Traffic Speed Prediction

2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 2020, p.1-5

2020

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Traffic Speed Prediction: An Attention-Based Method

Sensors (Basel, Switzerland), 2019-09, Vol.19 (18), p.3836

2019

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A Vehicular Mobile Standard Instrument for Field Verification of Traffic Speed Meters Based on Dual-Antenna Doppler Radar Sensor

Sensors (Basel, Switzerland), 2018-04, Vol.18 (4), p.1099

2018

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Short‐Term High-Speed Traffic Flow Prediction Based on ARIMA-GARCH-M Model

Wireless personal communications, 2021-04, Vol.117 (4), p.3421-3430

2021

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An Efficient Short-Term Traffic Speed Prediction Model Based on Improved TCN and GCN

Sensors (Basel, Switzerland), 2021-10, Vol.21 (20), p.6735

2021

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Graph Convolutional Network: Traffic Speed Prediction Fused with Traffic Flow Data

Sensors (Basel, Switzerland), 2021-09, Vol.21 (19), p.6402

2021

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Incorporating multimodal context information into traffic speed forecasting through graph deep learning

International journal of geographical information science : IJGIS, 2023-09, Vol.37 (9), p.1909-1935

2023

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Traffic speed prediction: spatiotemporal convolution network based on long-term, short-term and spatial features

Applied intelligence (Dordrecht, Netherlands), 2022-01, Vol.52 (2), p.2224-2242

2022

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Spatial-temporal gated graph convolutional network: a new deep learning framework for long-term traffic speed forecasting

Journal of intelligent & fuzzy systems, 2023-06, Vol.44 (6), p.10437-10450

2023

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Sequential Graph Neural Network for Urban Road Traffic Speed Prediction

IEEE access, 2020, Vol.8, p.63349-63358

2020

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Global Spatial-Temporal Graph Convolutional Network for Urban Traffic Speed Prediction

Applied sciences, 2020-02, Vol.10 (4), p.1509

2020

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3D-finite element pavement structural model for using with traffic speed deflectometers

The international journal of pavement engineering, 2022-10, Vol.23 (12), p.4065-4079

2022

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Short-Term Traffic Speed Forecasting Using a Deep Learning Method Based on Multitemporal Traffic Flow Volume

IEEE access, 2022, Vol.10, p.82384-82395

2022

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MGCAF: A Novel Multigraph Cross-Attention Fusion Method for Traffic Speed Prediction

International journal of environmental research and public health, 2022-11, Vol.19 (21), p.14490

2022

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Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

Interval prediction of short-term traffic speed with limited data input: Application of fuzzy-grey combined prediction model

Multimodal Traffic Speed Monitoring: A Real-Time System Based on Passive Wi-Fi and Bluetooth Sensing Technology

FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting

Rainfall-integrated traffic speed prediction using deep learning method

Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities

Multistep traffic speed prediction: A deep learning based approach using latent space mapping considering spatio-temporal dependencies

Link traffic speed forecasting using convolutional attention-based gated recurrent unit

Spatial-Temporal Graph Attention Networks: A Deep Learning Approach for Traffic Forecasting

Forecasting short-term traffic speed based on multiple attributes of adjacent roads

Attention-based Conv-LSTM and Bi-LSTM networks for large-scale traffic speed prediction

A CNN-LSTM Model for Traffic Speed Prediction

Traffic Speed Prediction: An Attention-Based Method

A Vehicular Mobile Standard Instrument for Field Verification of Traffic Speed Meters Based on Dual-Antenna Doppler Radar Sensor

Short‐Term High-Speed Traffic Flow Prediction Based on ARIMA-GARCH-M Model

An Efficient Short-Term Traffic Speed Prediction Model Based on Improved TCN and GCN

Graph Convolutional Network: Traffic Speed Prediction Fused with Traffic Flow Data

Incorporating multimodal context information into traffic speed forecasting through graph deep learning

Traffic speed prediction: spatiotemporal convolution network based on long-term, short-term and spatial features

Spatial-temporal gated graph convolutional network: a new deep learning framework for long-term traffic speed forecasting

Sequential Graph Neural Network for Urban Road Traffic Speed Prediction

Global Spatial-Temporal Graph Convolutional Network for Urban Traffic Speed Prediction

3D-finite element pavement structural model for using with traffic speed deflectometers

Short-Term Traffic Speed Forecasting Using a Deep Learning Method Based on Multitemporal Traffic Flow Volume

MGCAF: A Novel Multigraph Cross-Attention Fusion Method for Traffic Speed Prediction

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