Rongjie Yu

According to our database, Rongjie Yu authored at least 16 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Interactive Decision-Making With Switchable Game Modes for Automated Vehicles at Intersections.

Shizheng Jia, Yuxiang Zhang, Xin Li, Xiaoxiang Na, Yuhai Wang, Bingzhao Gao, Bing Zhu, Rongjie Yu

IEEE Trans. Intell. Transp. Syst., November, 2023

Hazardous Driving Scenario Identification with Limited Training Samples.

Zhen Gao, Liyou Wang, Jingning Xu, Rongjie Yu, Li Wang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

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, Haneen Farah

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, He Zhang, Huajun Zhou, Rongjie Yu, Ye Tian

IEEE Trans. Intell. Transp. Syst., 2022

Wasserstein Generative Adversarial Network to Address the Imbalanced Data Problem in Real-Time Crash Risk Prediction.

Cheuk Ki Man, Mohammed A. Quddus, Athanasios Theofilatos, Rongjie Yu, Marianna Imprialou

IEEE Trans. Intell. Transp. Syst., 2022

Vehicle Forward Collision Warning based upon Low Frequency Video Data: A hybrid Deep Learning Modeling Approach.

Rongjie Yu, Haoan Ai

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

A Comprehensive Vision-Based Model for Commercial Truck Driver Fatigue Detection.

Zhen Gao, Xiaowen Chen, Jingning Xu, Rongjie Yu, Jiaqi Zong

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

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

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020

Identifying High Risk Driving Scenarios Utilizing a CNN-LSTM Analysis Approach^*.

Rongjie Yu, Haoan Ai, Zhen Gao

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

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

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Driver Identification Based on Stop-and-Go Events Using Naturalistic Driving Data.

Zhen Gao, Longqi Li, Jinsong Feng, Rongjie Yu, Xuesong Wang, Changqing Yin

Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018

Speeding Behavior Estimation Using Stop-and-Go Events Based on Velocity Data.

Mingxi Chen, Zhen Gao, Rongjie Yu, Xuesong Wang

Proceedings of the IEEE International Conference on Communication Systems, 2018

Research on Automated Modeling Algorithm Using Association Rules for Traffic Accidents.

Zhen Gao, Ruifeng Pan, Rongjie Yu, Xuesong Wang

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

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

Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017

Utilizing latent class logit model to predict crash risk.

Zhiqiang Huang, Zhen Gao, Rongjie Yu, Xuesong Wang, Kui Yang

Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017

2014

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

IEEE Trans. Intell. Transp. Syst., 2014