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2020 – today
- 2024
[j6]Lei Han
, Mohamed A. Abdel-Aty, Rongjie Yu, Chenzhu Wang:
LSTM + Transformer Real-Time Crash Risk Evaluation Using Traffic Flow and Risky Driving Behavior Data. IEEE Trans. Intell. Transp. Syst. 25(11): 18383-18395 (2024)- [c12]Zhen Gao, Liyou Wang, Jingning Xu, Hongfei Fan, Rongjie Yu:
Robust Hazardous Driving Scenario Detection for Supporting Autonomous Vehicles in Edge-Cloud Collaborative Environments. CSCWD 2024: 1980-1985 - [i1]Yicheng Guo, Jiaqi Liu, Rongjie Yu, Peng Hang, Jian Sun:
MAPPO-PIS: A Multi-Agent Proximal Policy Optimization Method with Prior Intent Sharing for CAVs' Cooperative Decision-Making. CoRR abs/2408.06656 (2024) - 2023
- [j5]Shizheng Jia, Yuxiang Zhang, Xin Li, Xiaoxiang Na, Yuhai Wang, Bingzhao Gao, Bing Zhu, Rongjie Yu:
Interactive Decision-Making With Switchable Game Modes for Automated Vehicles at Intersections. IEEE Trans. Intell. Transp. Syst. 24(11): 11785-11799 (2023) - [c11]Zhen Gao, Liyou Wang, Jingning Xu, Rongjie Yu, Li Wang:
Hazardous Driving Scenario Identification with Limited Training Samples. ICONIP (13) 2023: 203-214 - 2022
- [j4]Jian Sun, He Zhang, Huajun Zhou, Rongjie Yu, Ye Tian:
Scenario-Based Test Automation for Highly Automated Vehicles: A Review and Paving the Way for Systematic Safety Assurance. IEEE Trans. Intell. Transp. Syst. 23(9): 14088-14103 (2022) - [j3]Cheuk Ki Man, Mohammed A. Quddus, Athanasios Theofilatos, Rongjie Yu, Marianna Imprialou:
Wasserstein Generative Adversarial Network to Address the Imbalanced Data Problem in Real-Time Crash Risk Prediction. IEEE Trans. Intell. Transp. Syst. 23(12): 23002-23013 (2022) - [j2]Yiyun Wang, Rongjie Yu, Shuhan Qiu, Jian Sun, Haneen Farah:
Safety Performance Boundary Identification of Highly Automated Vehicles: A Surrogate Model-Based Gradient Descent Searching Approach. IEEE Trans. Intell. Transp. Syst. 23(12): 23809-23820 (2022) - [c10]Zhen Gao, Xiaowen Chen, Jingning Xu, Rongjie Yu, Jiaqi Zong:
A Comprehensive Vision-Based Model for Commercial Truck Driver Fatigue Detection. ICONIP (3) 2022: 182-193 - [c9]Rongjie Yu, Haoan Ai:
Vehicle Forward Collision Warning based upon Low Frequency Video Data: A hybrid Deep Learning Modeling Approach. ITSC 2022: 59-64 - 2021
- [c8]Zhen Gao, Jingning Xu, Jiang Yu Zheng, Hongfei Fan, Rongjie Yu, Jiaqi Zong, Xinyi Li:
A Lightweight VK-Net Based on Motion Profiles for Hazardous Driving Scenario Identification. HPCC/DSS/SmartCity/DependSys 2021: 908-913 - 2020
- [c7]Rongjie Yu, Haoan Ai, Zhen Gao:
Identifying High Risk Driving Scenarios Utilizing a CNN-LSTM Analysis Approach*. ITSC 2020: 1-6
2010 – 2019
- 2018
- [c6]Zhen Gao, Ruifeng Pan, Rongjie Yu, Xuesong Wang:
Research on Automated Modeling Algorithm Using Association Rules for Traffic Accidents. BigComp 2018: 127-132 - [c5]Mingxi Chen, Zhen Gao, Rongjie Yu, Xuesong Wang:
Speeding Behavior Estimation Using Stop-and-Go Events Based on Velocity Data. ICCS 2018: 407-412 - [c4]Zhen Gao, Longqi Li, Jinsong Feng, Rongjie Yu, Xuesong Wang, Changqing Yin:
Driver Identification Based on Stop-and-Go Events Using Naturalistic Driving Data. ISCID (1) 2018: 306-310 - [c3]Zhen Gao, Yajun Liu, Jiang Yu Zheng, Rongjie Yu, Xuesong Wang, Ping Sun:
Predicting Hazardous Driving Events Using Multi-Modal Deep Learning Based on Video Motion Profile and Kinematics Data. ITSC 2018: 3352-3357 - 2017
- [c2]Axiang Ke, Zhen Gao, Rongjie Yu, Min Wang, Xuesong Wang:
A hybrid approach for urban expressway traffic incident duration prediction with Cox regression and random survival forests models. ICIS 2017: 113-118 - [c1]Zhiqiang Huang, Zhen Gao, Rongjie Yu, Xuesong Wang, Kui Yang:
Utilizing latent class logit model to predict crash risk. ICIS 2017: 161-165 - 2014
- [j1]Rongjie Yu, Mohamed A. Abdel-Aty, Mohamed M. Ahmed, Xuesong Wang:
Utilizing Microscopic Traffic and Weather Data to Analyze Real-Time Crash Patterns in the Context of Active Traffic Management. IEEE Trans. Intell. Transp. Syst. 15(1): 205-213 (2014)
Coauthor Index
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