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Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study

Transportation research. Part C, Emerging technologies, 2018-08, Vol.93, p.425-445

2018

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Crash analysis of mountainous freeways with high bridge and tunnel ratios using road scenario-based discretization

PloS one, 2020-08, Vol.15 (8), p.e0237408-e0237408

2020

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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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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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Speed, speed variation and crash relationships for urban arterials

Accident analysis and prevention, 2018-04, Vol.113, p.236-243

2018

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An integrated methodology for real-time driving risk status prediction using naturalistic driving data

Accident analysis and prevention, 2021-06, Vol.156, p.106122-106122, Article 106122

2021

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Quantification of cut-in risk and analysis of its influencing factors: a study using random parameters ordered probit model

Journal of transportation safety & security, 2022-12, Vol.14 (12), p.2029-2054

2022

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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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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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Investigating the safety impact of roadway network features of suburban arterials in Shanghai

Accident analysis and prevention, 2018-04, Vol.113, p.137-148

2018

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Quantification of Rear-End Crash Risk and Analysis of Its Influencing Factors Based on a New Surrogate Safety Measure

Journal of advanced transportation, 2021, Vol.2021, p.1-15

2021

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Investigating Pedestrian Crossing Patterns at Crossing Locations Based on Trajectory Data Collected by UAV

Journal of advanced transportation, 2023-11, Vol.2023, p.1-28

2023

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Risk prediction for cut-ins using multi-driver simulation data and machine learning algorithms: A comparison among decision tree, GBDT and LSTM

International Journal of Transportation Science and Technology, 2023-09, Vol.12 (3), p.862-877

2023

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Predicting drowsy driving in real-time situations: Using an advanced driving simulator, accelerated failure time model, and virtual location-based services

Accident analysis and prevention, 2017-02, Vol.99 (Pt A), p.321-329

2017

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Utilizing the eigenvectors of freeway loop data spatiotemporal schematic for real time crash prediction

Accident analysis and prevention, 2016-09, Vol.94, p.59-64

2016

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Identification of freeway secondary accidents with traffic shock wave detected by loop detectors

Safety science, 2016-08, Vol.87, p.195-201

2016

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Trajectory Prediction for Turning Vehicles at Intersections by Fusing Vehicle Dynamics and Driver’s Future Input Estimation

Transportation research record, 2016, Vol.2602 (1), p.68-77

2016

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An optimized real-time crash prediction model on freeway with over-sampling techniques based on support vector machine

Journal of intelligent & fuzzy systems, 2017-01, Vol.33 (1), p.555-562

2017

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Analysis of the Relationship between the Number of Traffic Accidents and the Traffic Flow & Section Location in Extra Long Tunnel

Engineering (Irvine, Calif.), 2020, Vol.12 (2), p.71-81

2020

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Simulated CAVs Driving and Characteristics of the Mixed Traffic Using Reinforcement Learning Method

Smart Transportation Systems 2019, 2019, Vol.149, p.193-204

2019

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A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns

Accident analysis and prevention, 2022-01, Vol.164, p.106500-106500, Article 106500

2022

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Causation analysis of crashes and near crashes using naturalistic driving data

Accident analysis and prevention, 2022-11, Vol.177, p.106821-106821, Article 106821

2022

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Effect of Visual Range on Driving Speed on Low-grade Highway

Procedia, social and behavioral sciences, 2013-11, Vol.96, p.1175-1184

2013

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An empirical investigation of driver car-following risk evolution using naturistic driving data and random parameters multinomial logit model with heterogeneity in means and variances

Analytic methods in accident research, 2023-06, Vol.38, p.100265, Article 100265

2023

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Real-time freeway crash prediction model by using single ultrasonic detector lane-level data

Functional Pavement Design, 2016, p.1635-1643

1, 2016

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Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study

Crash analysis of mountainous freeways with high bridge and tunnel ratios using road scenario-based discretization

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

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

Speed, speed variation and crash relationships for urban arterials

An integrated methodology for real-time driving risk status prediction using naturalistic driving data

Quantification of cut-in risk and analysis of its influencing factors: a study using random parameters ordered probit model

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

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

Investigating the safety impact of roadway network features of suburban arterials in Shanghai

Quantification of Rear-End Crash Risk and Analysis of Its Influencing Factors Based on a New Surrogate Safety Measure

Investigating Pedestrian Crossing Patterns at Crossing Locations Based on Trajectory Data Collected by UAV

Risk prediction for cut-ins using multi-driver simulation data and machine learning algorithms: A comparison among decision tree, GBDT and LSTM

Predicting drowsy driving in real-time situations: Using an advanced driving simulator, accelerated failure time model, and virtual location-based services

Utilizing the eigenvectors of freeway loop data spatiotemporal schematic for real time crash prediction

Identification of freeway secondary accidents with traffic shock wave detected by loop detectors

Trajectory Prediction for Turning Vehicles at Intersections by Fusing Vehicle Dynamics and Driver’s Future Input Estimation

An optimized real-time crash prediction model on freeway with over-sampling techniques based on support vector machine

Analysis of the Relationship between the Number of Traffic Accidents and the Traffic Flow & Section Location in Extra Long Tunnel

Simulated CAVs Driving and Characteristics of the Mixed Traffic Using Reinforcement Learning Method

A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns

Causation analysis of crashes and near crashes using naturalistic driving data

Effect of Visual Range on Driving Speed on Low-grade Highway

An empirical investigation of driver car-following risk evolution using naturistic driving data and random parameters multinomial logit model with heterogeneity in means and variances

Real-time freeway crash prediction model by using single ultrasonic detector lane-level data

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