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Long-Term Traffic Flow Prediction using Hybrid Deep Learning Technique

International journal of engineering trends and technology, 2023-05, Vol.71 (5), p.156-165

2023

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Analysis of the relationship between LSTM network traffic flow prediction performance and statistical characteristics of standard and nonstandard data

Journal of forecasting, 2020-12, Vol.39 (8), p.1213-1228

Doğan, Erdem

2020

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Short‐term traffic flow prediction based on AST‐MTL‐CNN‐GRU

IET intelligent transport systems, 2023-11, Vol.17 (11), p.2205-2220

2023

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Spatio-Temporal Residual Graph Convolutional Network for Short-Term Traffic Flow Prediction

IEEE access, 2023, Vol.11, p.84187-84199

2023

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Urban traffic flow online prediction based on multi-component attention mechanism

IET intelligent transport systems, 2020-10, Vol.14 (10), p.1249-1258

2020

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LSTM-based traffic flow prediction with missing data

Neurocomputing (Amsterdam), 2018-11, Vol.318, p.297-305

2018

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Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning

Information sciences, 2021-11, Vol.578, p.401-416

2021

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A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges

IEEE transactions on knowledge and data engineering, 2022-04, Vol.34 (4), p.1544-1561

2022

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Traffic flow prediction by an ensemble framework with data denoising and deep learning model

Physica A, 2021-03, Vol.565, p.125574, Article 125574

2021

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An effective spatial-temporal attention based neural network for traffic flow prediction

Transportation research. Part C, Emerging technologies, 2019-11, Vol.108, p.12-28

2019

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Traffic flow prediction using LSTM with feature enhancement

Neurocomputing (Amsterdam), 2019-03, Vol.332, p.320-327

2019

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Survey on traffic prediction in smart cities

Pervasive and mobile computing, 2018-10, Vol.50, p.148-163

2018

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An adaptive hybrid model for short-term urban traffic flow prediction

Physica A, 2019-08, Vol.527, p.121065, Article 121065

2019

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Using support vector regression and K-nearest neighbors for short-term traffic flow prediction based on maximal information coefficient

Information sciences, 2022-08, Vol.608, p.517-531

2022

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Traffic Flow Prediction With Big Data: A Deep Learning Approach

IEEE transactions on intelligent transportation systems, 2015-04, Vol.16 (2), p.865-873

2015

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IEEE_Xplore

Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks

ACM transactions on knowledge discovery from data, 2020-08, Vol.14 (4), p.1-23

2020

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Privacy-preserving blockchain-based federated learning for traffic flow prediction

Future generation computer systems, 2021-04, Vol.117, p.328-337

2021

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Traffic flow prediction based on combination of support vector machine and data denoising schemes

Physica A, 2019-11, Vol.534, p.120642, Article 120642

2019

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A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction

IEEE transactions on intelligent transportation systems, 2021-11, Vol.22 (11), p.6910-6920

2021

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IEEE_Xplore

A hybrid deep learning model with 1DCNN-LSTM-Attention networks for short-term traffic flow prediction

Physica A, 2021-12, Vol.583, p.126293, Article 126293

2021

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Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach

IEEE internet of things journal, 2020-08, Vol.7 (8), p.7751-7763

2020

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IEEE_Xplore

Machine Learning-based traffic prediction models for Intelligent Transportation Systems

Computer networks (Amsterdam, Netherlands : 1999), 2020-11, Vol.181, p.107530, Article 107530

2020

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Adaptive Multi-Kernel SVM With Spatial-Temporal Correlation for Short-Term Traffic Flow Prediction

IEEE transactions on intelligent transportation systems, 2019-06, Vol.20 (6), p.2001-2013

2019

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IEEE_Xplore

Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction

Neural networks, 2022-01, Vol.145, p.233-247

2022

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An Evaluation of HTM and LSTM for Short-Term Arterial Traffic Flow Prediction

IEEE transactions on intelligent transportation systems, 2019-05, Vol.20 (5), p.1847-1857

2019

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IEEE_Xplore

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Long-Term Traffic Flow Prediction using Hybrid Deep Learning Technique

Analysis of the relationship between LSTM network traffic flow prediction performance and statistical characteristics of standard and nonstandard data

Short‐term traffic flow prediction based on AST‐MTL‐CNN‐GRU

Spatio-Temporal Residual Graph Convolutional Network for Short-Term Traffic Flow Prediction

Urban traffic flow online prediction based on multi-component attention mechanism

LSTM-based traffic flow prediction with missing data

Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning

A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges

Traffic flow prediction by an ensemble framework with data denoising and deep learning model

An effective spatial-temporal attention based neural network for traffic flow prediction

Traffic flow prediction using LSTM with feature enhancement

Survey on traffic prediction in smart cities

An adaptive hybrid model for short-term urban traffic flow prediction

Using support vector regression and K-nearest neighbors for short-term traffic flow prediction based on maximal information coefficient

Traffic Flow Prediction With Big Data: A Deep Learning Approach

Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks

Privacy-preserving blockchain-based federated learning for traffic flow prediction

Traffic flow prediction based on combination of support vector machine and data denoising schemes

A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction

A hybrid deep learning model with 1DCNN-LSTM-Attention networks for short-term traffic flow prediction

Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach

Machine Learning-based traffic prediction models for Intelligent Transportation Systems

Adaptive Multi-Kernel SVM With Spatial-Temporal Correlation for Short-Term Traffic Flow Prediction

Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction

An Evaluation of HTM and LSTM for Short-Term Arterial Traffic Flow Prediction

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