Utilizing Microscopic Traffic and Weather Data to Analyze Real-Time Crash Patterns in the Context of Active Traffic Management. - Rongjie Yu; Mohamed A. Abdel-Aty; Mohamed M. Ahmed; Xuesong Wang 006 (IEEE Trans. Intell. Transp. Syst., 2014)

Utilizing latent class logit model to predict crash risk. - Zhiqiang Huang; Zhen Gao; Rongjie Yu; Xuesong Wang 006; Kui Yang (ICIS, 2017)

A hybrid approach for urban expressway traffic incident duration prediction with Cox regression and random survival forests models. - Axiang Ke; Zhen Gao; Rongjie Yu; Min Wang; Xuesong Wang 006 (ICIS, 2017)

Research on Automated Modeling Algorithm Using Association Rules for Traffic Accidents. - Zhen Gao; Ruifeng Pan; Rongjie Yu; Xuesong Wang 006 (BigComp, 2018)

Speeding Behavior Estimation Using Stop-and-Go Events Based on Velocity Data. - Mingxi Chen; Zhen Gao; Rongjie Yu; Xuesong Wang 006 (ICCS, 2018)

Driver Identification Based on Stop-and-Go Events Using Naturalistic Driving Data. - Zhen Gao; Longqi Li; Jinsong Feng; Rongjie Yu; Xuesong Wang 006; Changqing Yin (ISCID (1), 2018)

Predicting Hazardous Driving Events Using Multi-Modal Deep Learning Based on Video Motion Profile and Kinematics Data. - Zhen Gao; Yajun Liu; Jiang Yu Zheng; Rongjie Yu; Xuesong Wang; Ping Sun (ITSC, 2018)

Identifying High Risk Driving Scenarios Utilizing a CNN-LSTM Analysis Approach*. - Rongjie Yu; Haoan Ai; Zhen Gao (ITSC, 2020)

A Lightweight VK-Net Based on Motion Profiles for Hazardous Driving Scenario Identification. - Zhen Gao; Jingning Xu; Jiang Yu Zheng; Hongfei Fan; Rongjie Yu; Jiaqi Zong; Xinyi Li (HPCC/DSS/SmartCity/DependSys, 2021)

A Comprehensive Vision-Based Model for Commercial Truck Driver Fatigue Detection. - Zhen Gao; Xiaowen Chen; Jingning Xu; Rongjie Yu; Jiaqi Zong (ICONIP (3), 2022)

Vehicle Forward Collision Warning based upon Low Frequency Video Data: A hybrid Deep Learning Modeling Approach. - Rongjie Yu; Haoan Ai (ITSC, 2022)

Wasserstein Generative Adversarial Network to Address the Imbalanced Data Problem in Real-Time Crash Risk Prediction. - Cheuk Ki Man; Mohammed A. Quddus 001; Athanasios Theofilatos; Rongjie Yu; Marianna Imprialou (IEEE Trans. Intell. Transp. Syst., 2022)

Scenario-Based Test Automation for Highly Automated Vehicles: A Review and Paving the Way for Systematic Safety Assurance. - Jian Sun 010; He Zhang; Huajun Zhou; Rongjie Yu; Ye Tian 002 (IEEE Trans. Intell. Transp. Syst., 2022)

Safety Performance Boundary Identification of Highly Automated Vehicles: A Surrogate Model-Based Gradient Descent Searching Approach. - Yiyun Wang; Rongjie Yu; Shuhan Qiu; Jian Sun 010; Haneen Farah (IEEE Trans. Intell. Transp. Syst., 2022)

Hazardous Driving Scenario Identification with Limited Training Samples. - Zhen Gao; Liyou Wang; Jingning Xu; Rongjie Yu; Li Wang (ICONIP (13), 2023)

Interactive Decision-Making With Switchable Game Modes for Automated Vehicles at Intersections. - Shizheng Jia; Yuxiang Zhang 004; Xin Li; Xiaoxiang Na; Yuhai Wang; Bingzhao Gao; Bing Zhu 006; Rongjie Yu (IEEE Trans. Intell. Transp. Syst., 2023)

Robust Hazardous Driving Scenario Detection for Supporting Autonomous Vehicles in Edge-Cloud Collaborative Environments. - Zhen Gao; Liyou Wang; Jingning Xu; Hongfei Fan; Rongjie Yu (CSCWD, 2024)

MAPPO-PIS: A Multi-agent Proximal Policy Optimization Method with Prior Intent Sharing for CAVs' Cooperative Decision-Making. - Yicheng Guo; Jiaqi Liu; Rongjie Yu; Peng Hang; Jian Sun 010 (ECCV Workshops (8), 2024)

iIPPC-V2X: Multi-modality Fusion Perception System for Cooperative Vehicle Infrastructure System with Self-Supervised Learning. - Guoyu Zhang; Rongjie Yu; Jian Sun 010; Peng Hang (ECCV Workshops (8), 2024)

LSTM + Transformer Real-Time Crash Risk Evaluation Using Traffic Flow and Risky Driving Behavior Data. - Lei Han; Mohamed A. Abdel-Aty; Rongjie Yu; Chenzhu Wang (IEEE Trans. Intell. Transp. Syst., 2024)

Multi-objective hub location for urban air mobility via self-adaptive evolutionary algorithm. - Chunxiao Zhang; Wenbo Du 001; Tong Guo; Rongjie Yu; Tao Song 004; Yumeng Li (Adv. Eng. Informatics, 2025)