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Real-time crash prediction on freeways using data mining and emerging techniques

Journal of modern transportation, 2017-06, Vol.25 (2), p.116-123

2017

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Spatial Stochastic Vehicle Traffic Modeling for VANETs

IEEE transactions on intelligent transportation systems, 2018-02, Vol.19 (2), p.416-425

2018

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Car-Following Modeling Incorporating Driving Memory Based on Autoencoder and Long Short-Term Memory Neural Networks

Sustainability, 2019-12, Vol.11 (23), p.6755

2019

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Bus Bridging Disruption in Rail Services With Frustrated and Impatient Passengers

IEEE transactions on intelligent transportation systems, 2014-10, Vol.15 (5), p.2014-2023

2014

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Characteristic Analysis of Mixed Traffic Flow of Regular and Autonomous Vehicles Using Cellular Automata

Journal of advanced transportation, 2017-01, Vol.2017, p.1-10

2017

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Enhancing Freeway Safety through Intervening in Traffic Flow Dynamics Based on Variable Speed Limit Control

Journal of advanced transportation, 2018-01, Vol.2018, p.1-10

2018

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Vertical and Horizontal Queue Models for Oversaturated Signal Intersections with Quasi-Real-Time Reconstruction of Deterministic and Shockwave Queueing Profiles Using Limited Mobile Sensing Data

Journal of advanced transportation, 2018-01, Vol.2018, p.1-19

2018

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Modeling Lane-Changing Behavior in Freeway Off-Ramp Areas from the Shanghai Naturalistic Driving Study

Journal of advanced transportation, 2018-01, Vol.2018, p.1-10

2018

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Merging and Diverging Impact on Mixed Traffic of Regular and Autonomous Vehicles

IEEE transactions on intelligent transportation systems, 2021-03, Vol.22 (3), p.1639-1649

2021

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Corrigendum to “Characteristic Analysis of Mixed Traffic Flow of Regular and Autonomous Vehicles Using Cellular Automata”

Journal of advanced transportation, 2017-01, Vol.2017, p.1-1

2017

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A Motorcyclist-Injury Severity Analysis: A Comparison of Single-, Two-, and Multi-Vehicle Crashes Using Latent Class Ordered Probit Model

Accident analysis and prevention, 2021-03, Vol.151, p.105953-105953, Article 105953

2021

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Driving Behaviour Style Study with a Hybrid Deep Learning Framework Based on GPS Data

Sustainability, 2018-07, Vol.10 (7), p.2351

2018

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GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model

Transportmetrica (Abingdon, Oxfordshire, UK), 2021-01, Vol.17 (2), p.190-211

2021

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A Generic Approach to Eco-Driving of Connected Automated Vehicles in Mixed Urban Traffic and Heterogeneous Power Conditions

IEEE transactions on intelligent transportation systems, 2023-11, Vol.24 (11), p.1-18

2023

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Real-time joint traffic state and model parameter estimation on freeways with fixed sensors and connected vehicles: State-of-the-art overview, methods, and case studies

Transportation research. Part C, Emerging technologies, 2022-01, Vol.134, p.103444, Article 103444

2022

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Generic Approaches to Estimating Freeway Traffic State and Percentage of Connected Vehicles With Fixed and Mobile Sensing

IEEE transactions on intelligent transportation systems, 2022-08, Vol.23 (8), p.13155-13177

2022

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A hybrid deep learning approach for driver anomalous lane changing identification

Accident analysis and prevention, 2022-06, Vol.171, p.106661-106661, Article 106661

2022

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Capacity Drop at Freeway Ramp Merges with Its Replication in Macroscopic and Microscopic Traffic Simulations: A Tutorial Report

Sustainability, 2023-01, Vol.15 (3), p.2050

2023

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Ego-efficient lane changes of connected and automated vehicles with impacts on traffic flow

Transportation research. Part C, Emerging technologies, 2022-05, Vol.138, p.103478, Article 103478

2022

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Freeway Traffic Control in Presence of Capacity Drop

IEEE transactions on intelligent transportation systems, 2021-03, Vol.22 (3), p.1497-1516

2021

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Identifying safe intersection design through unsupervised feature extraction from satellite imagery

Computer-aided civil and infrastructure engineering, 2021-03, Vol.36 (3), p.346-361

2021

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Assessing injury severity of secondary incidents using support vector machines

Journal of transportation safety & security, 2022-01, Vol.14 (2), p.197-216

2022

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Middle-aged Drivers’ subjective categorization for combined alignments on mountainous freeways and their speed choices

Accident analysis and prevention, 2019-06, Vol.127, p.80-86

2019

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Bottlenecks, Shockwave, and Off-Ramp Blockage on Freeways

Sustainability, 2019-09, Vol.11 (18), p.4991

2019

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Injury Severity Analysis of Secondary Incidents

Smart Transportation Systems 2020, 2020, Vol.185, p.155-166

2020

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Real-time crash prediction on freeways using data mining and emerging techniques

Spatial Stochastic Vehicle Traffic Modeling for VANETs

Car-Following Modeling Incorporating Driving Memory Based on Autoencoder and Long Short-Term Memory Neural Networks

Bus Bridging Disruption in Rail Services With Frustrated and Impatient Passengers

Characteristic Analysis of Mixed Traffic Flow of Regular and Autonomous Vehicles Using Cellular Automata

Enhancing Freeway Safety through Intervening in Traffic Flow Dynamics Based on Variable Speed Limit Control

Vertical and Horizontal Queue Models for Oversaturated Signal Intersections with Quasi-Real-Time Reconstruction of Deterministic and Shockwave Queueing Profiles Using Limited Mobile Sensing Data

Modeling Lane-Changing Behavior in Freeway Off-Ramp Areas from the Shanghai Naturalistic Driving Study

Merging and Diverging Impact on Mixed Traffic of Regular and Autonomous Vehicles

Corrigendum to “Characteristic Analysis of Mixed Traffic Flow of Regular and Autonomous Vehicles Using Cellular Automata”

A Motorcyclist-Injury Severity Analysis: A Comparison of Single-, Two-, and Multi-Vehicle Crashes Using Latent Class Ordered Probit Model

Driving Behaviour Style Study with a Hybrid Deep Learning Framework Based on GPS Data

GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model

A Generic Approach to Eco-Driving of Connected Automated Vehicles in Mixed Urban Traffic and Heterogeneous Power Conditions

Real-time joint traffic state and model parameter estimation on freeways with fixed sensors and connected vehicles: State-of-the-art overview, methods, and case studies

Generic Approaches to Estimating Freeway Traffic State and Percentage of Connected Vehicles With Fixed and Mobile Sensing

A hybrid deep learning approach for driver anomalous lane changing identification

Capacity Drop at Freeway Ramp Merges with Its Replication in Macroscopic and Microscopic Traffic Simulations: A Tutorial Report

Ego-efficient lane changes of connected and automated vehicles with impacts on traffic flow

Freeway Traffic Control in Presence of Capacity Drop

Identifying safe intersection design through unsupervised feature extraction from satellite imagery

Assessing injury severity of secondary incidents using support vector machines

Middle-aged Drivers’ subjective categorization for combined alignments on mountainous freeways and their speed choices

Bottlenecks, Shockwave, and Off-Ramp Blockage on Freeways

Injury Severity Analysis of Secondary Incidents

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