Rongjie Yu
Orcid: 0000-0003-4782-0279
According to our database1,
Rongjie Yu
authored at least 20 papers
between 2014 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Multi-objective hub location for urban air mobility via self-adaptive evolutionary algorithm.
Adv. Eng. Informatics, 2025
2024
LSTM + Transformer Real-Time Crash Risk Evaluation Using Traffic Flow and Risky Driving Behavior Data.
IEEE Trans. Intell. Transp. Syst., November, 2024
MAPPO-PIS: A Multi-Agent Proximal Policy Optimization Method with Prior Intent Sharing for CAVs' Cooperative Decision-Making.
CoRR, 2024
Robust Hazardous Driving Scenario Detection for Supporting Autonomous Vehicles in Edge-Cloud Collaborative Environments.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024
2023
Interactive Decision-Making With Switchable Game Modes for Automated Vehicles at Intersections.
IEEE Trans. Intell. Transp. Syst., November, 2023
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.
IEEE Trans. Intell. Transp. Syst., 2022
Scenario-Based Test Automation for Highly Automated Vehicles: A Review and Paving the Way for Systematic Safety Assurance.
IEEE Trans. Intell. Transp. Syst., 2022
Wasserstein Generative Adversarial Network to Address the Imbalanced Data Problem in Real-Time Crash Risk Prediction.
IEEE Trans. Intell. Transp. Syst., 2022
Vehicle Forward Collision Warning based upon Low Frequency Video Data: A hybrid Deep Learning Modeling Approach.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
2021
A Lightweight VK-Net Based on Motion Profiles for Hazardous Driving Scenario Identification.
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<sup>*</sup>.
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.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018
Proceedings of the IEEE International Conference on Communication Systems, 2018
Research on Automated Modeling Algorithm Using Association Rules for Traffic Accidents.
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.
Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017
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.
IEEE Trans. Intell. Transp. Syst., 2014