Yongqi Dong

Yongqi Dong is a Junior Research Group Leader at the Institute of Highway Engineering, RWTH Aachen University, and a Ph.D. Researcher at TU Delft since 2019. His research focuses on AI-driven automated mobility, traffic safety, and intelligent transportation systems.

• Ph.D. in Transport and Planning, TU Delft
• M.Sc. in Control Science and Engineering, Tsinghua University
• B.Eng. in Telecommunication Engineering, Beijing Jiaotong University

His work emphasizes:

• Automated vehicle safety and socially-compliant driving
• Machine learning for anomaly detection in traffic
• Transformer models in lane detection and parking prediction
• Cross-cultural driving behavior analysis
• Human-machine interfaces for driverless systems

Recent publications highlight trends in deep learning for lane detection (2023-2025), anomaly detection in mixed traffic (2025), and cyclist perception studies (2025). Key journals include Transportation Research Record and IEEE Transactions on Intelligent Transportation Systems.

Scientific contributions include:

• Tsinghua Outstanding Master Thesis nomination
• Leadership in Traffic and Transportation Safety Lab (TU Delft)
• Presentations at TRB, ITSC, and ICTCT conferences