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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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A Novel STFSA-CNN-GRU Hybrid Model for Short-Term Traffic Speed Prediction

IEEE transactions on intelligent transportation systems, 2023-04, Vol.24 (4), p.3728-3737

2023

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GraphSAGE-Based Traffic Speed Forecasting for Segment Network With Sparse Data

IEEE transactions on intelligent transportation systems, 2022-03, Vol.23 (3), p.1755-1766

2022

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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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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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Long-Term Traffic Speed Prediction Based on Multiscale Spatio-Temporal Feature Learning Network

IEEE transactions on intelligent transportation systems, 2019-10, Vol.20 (10), p.3700-3709

2019

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When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time

IEEE transactions on intelligent transportation systems, 2023-10, Vol.24 (10), p.1-15

2023

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Long-Term Urban Traffic Speed Prediction With Deep Learning on Graphs

IEEE transactions on intelligent transportation systems, 2022-07, Vol.23 (7), p.7359-7370

2022

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Lane-Level Traffic Speed Forecasting: A Novel Mixed Deep Learning Model

IEEE transactions on intelligent transportation systems, 2022-04, Vol.23 (4), p.3601-3612

2022

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Multitask Neural Tensor Factorization for Road Traffic Speed-Volume Correlation Pattern Learning and Joint Imputation

IEEE transactions on intelligent transportation systems, 2022-12, Vol.23 (12), p.24550-24560

2022

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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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Spatial-Temporal Tensor Graph Convolutional Network for Traffic Speed Prediction

IEEE transactions on intelligent transportation systems, 2023-01, Vol.24 (1), p.92-103

2023

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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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Traffic Prediction With Missing Data: A Multi-Task Learning Approach

IEEE transactions on intelligent transportation systems, 2023-04, Vol.24 (4), p.4189-4202

2023

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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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Citywide traffic speed prediction: A geometric deep learning approach

Knowledge-based systems, 2021-01, Vol.212, p.106592, Article 106592

Yu, James J.Q.

2021

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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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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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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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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: An Attention-Based Method

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

2019

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

A Novel STFSA-CNN-GRU Hybrid Model for Short-Term Traffic Speed Prediction

GraphSAGE-Based Traffic Speed Forecasting for Segment Network With Sparse Data

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

Long-Term Traffic Speed Prediction Based on Multiscale Spatio-Temporal Feature Learning Network

When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time

Long-Term Urban Traffic Speed Prediction With Deep Learning on Graphs

Lane-Level Traffic Speed Forecasting: A Novel Mixed Deep Learning Model

Multitask Neural Tensor Factorization for Road Traffic Speed-Volume Correlation Pattern Learning and Joint Imputation

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

Spatial-Temporal Tensor Graph Convolutional Network for Traffic Speed Prediction

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

Traffic Prediction With Missing Data: A Multi-Task Learning Approach

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

Citywide traffic speed prediction: A geometric deep learning approach

A CNN-LSTM Model for Traffic Speed Prediction

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

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

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

Traffic Speed Prediction: An Attention-Based Method

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