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Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

IEEE transactions on intelligent transportation systems, 2020-11, Vol.21 (11), p.4883-4894

2020

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Disturbance Observer-Smith Predictor Compensation-Based Platoon Control with Estimation Deviation

Journal of advanced transportation, 2022-08, Vol.2022, p.1-14

2022

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Estimation Markov Decision Process of Multimodal Trip Chain between Integrated Transportation Hubs in Urban Agglomeration Based on Generalized Cost

Journal of advanced transportation, 2022-02, Vol.2022, p.1-13

2022

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Theory and Application of Vessel Speed Dynamic Control considering Safety and Environmental Factors

Journal of advanced transportation, 2022-04, Vol.2022, p.1-12

2022

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Parking Resource Allocation Optimization Framework Based on a Two-Level Grid Model

Journal of advanced transportation, 2022-05, Vol.2022, p.1-13

2022

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Lane-changes prediction based on adaptive fuzzy neural network

Expert systems with applications, 2018-01, Vol.91, p.452-463

2018

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Real-Time Bidirectional Traffic Flow Parameter Estimation From Aerial Videos

IEEE transactions on intelligent transportation systems, 2017-04, Vol.18 (4), p.890-901

2017

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The effect of human mobility and control measures on traffic safety during COVID-19 pandemic

PloS one, 2021-03, Vol.16 (3), p.e0243263-e0243263

2021

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Machine Learning for Transportation Research and Applications

1, 2023

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When Intelligent Transportation Systems Sensing Meets Edge Computing: Vision and Challenges

Applied sciences, 2021-10, Vol.11 (20), p.9680

2021

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Evaluating the influential priority of the factors on insurance loss of public transit

PloS one, 2018-01, Vol.13 (1), p.e0190103-e0190103

2018

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High-Resolution Vehicle Trajectory Extraction and Denoising From Aerial Videos

IEEE transactions on intelligent transportation systems, 2021-05, Vol.22 (5), p.3190-3202

2021

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Real-Time Traffic Flow Parameter Estimation From UAV Video Based on Ensemble Classifier and Optical Flow

IEEE transactions on intelligent transportation systems, 2019-01, Vol.20 (1), p.54-64

2019

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Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values

Transportation research. Part C, Emerging technologies, 2020-09, Vol.118, p.102674, Article 102674

2020

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A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices

IEEE transactions on intelligent transportation systems, 2021-08, Vol.22 (8), p.4962-4974

2021

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Sensing Data Supported Traffic Flow Prediction via Denoising Schemes and ANN: A Comparison

IEEE sensors journal, 2020-12, Vol.20 (23), p.14317-14328

2020

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Innovative method for traffic data imputation based on convolutional neural network

IET intelligent transport systems, 2019-04, Vol.13 (4), p.605-613

2019

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Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving

Transportation research. Part C, Emerging technologies, 2020-08, Vol.117, p.102662, Article 102662

2020

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Traffic congestion propagation inference using dynamic Bayesian graph convolution network

Transportation research. Part C, Emerging technologies, 2022-02, Vol.135, p.103526, Article 103526

2022

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Models for predicting vehicle emissions: A comprehensive review

The Science of the total environment, 2024-05, Vol.923, p.171324-171324, Article 171324

2024

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Carbon pricing initiatives-based bi-level pollution routing problem

European journal of operational research, 2020-10, Vol.286 (1), p.203-217

2020

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Learning traffic as a graph: A gated graph wavelet recurrent neural network for network-scale traffic prediction

Transportation research. Part C, Emerging technologies, 2020-06, Vol.115, p.102620, Article 102620

2020

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Two-Stream Multi-Channel Convolutional Neural Network for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact

Transportation research record, 2020-04, Vol.2674 (4), p.459-470

2020

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Toward a Dynamic Reversible Lane Management Strategy by Empowering Learning-Based Predictive Assignment Scheme

IEEE transactions on intelligent transportation systems, 2022-12, Vol.23 (12), p.23311-23323

2022

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Cooperative multi-camera vehicle tracking and traffic surveillance with edge artificial intelligence and representation learning

Transportation research. Part C, Emerging technologies, 2023-03, Vol.148, p.103982, Article 103982

2023

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Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

Disturbance Observer-Smith Predictor Compensation-Based Platoon Control with Estimation Deviation

Estimation Markov Decision Process of Multimodal Trip Chain between Integrated Transportation Hubs in Urban Agglomeration Based on Generalized Cost

Theory and Application of Vessel Speed Dynamic Control considering Safety and Environmental Factors

Parking Resource Allocation Optimization Framework Based on a Two-Level Grid Model

Lane-changes prediction based on adaptive fuzzy neural network

Real-Time Bidirectional Traffic Flow Parameter Estimation From Aerial Videos

The effect of human mobility and control measures on traffic safety during COVID-19 pandemic

Machine Learning for Transportation Research and Applications

When Intelligent Transportation Systems Sensing Meets Edge Computing: Vision and Challenges

Evaluating the influential priority of the factors on insurance loss of public transit

High-Resolution Vehicle Trajectory Extraction and Denoising From Aerial Videos

Real-Time Traffic Flow Parameter Estimation From UAV Video Based on Ensemble Classifier and Optical Flow

Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values

A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices

Sensing Data Supported Traffic Flow Prediction via Denoising Schemes and ANN: A Comparison

Innovative method for traffic data imputation based on convolutional neural network

Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving

Traffic congestion propagation inference using dynamic Bayesian graph convolution network

Models for predicting vehicle emissions: A comprehensive review

Carbon pricing initiatives-based bi-level pollution routing problem

Learning traffic as a graph: A gated graph wavelet recurrent neural network for network-scale traffic prediction

Two-Stream Multi-Channel Convolutional Neural Network for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact

Toward a Dynamic Reversible Lane Management Strategy by Empowering Learning-Based Predictive Assignment Scheme

Cooperative multi-camera vehicle tracking and traffic surveillance with edge artificial intelligence and representation learning

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