I am currently an Assistant Professor at the Intelligent Transportation Systems Research Center, Wuhan University of Technology. I received my Ph.D. degree from the School of Traffic and Transportation Engineering at Central South University, and my supervisors are Prof. Helai Huang and Prof. Ye li. Feel free to contact me (jielingkim@gmail.com) if you are interested in my work.

Research Interests

• Traffic safety Spatio-temporal modeling
• Proactive traffic control for CAVs
• Machine learning modeling

Current Research Topics

• Real-time traffic safety analysis and proactive control of freeway tunnels
• Traffic crash mechanism analysis and Safety testing of AVs
• Low-altitude flight safety assurance

Selected News

• October 2025: Our paper “Zone-specific real-time traffic conflict risk modeling for freeway tunnels: a CrossTabNet approach.” (authors: Jin J, Li J, Shan T, Qing Y.) was accepted by Accident Analysis & Prevention.
• September 2025, I joined the Intelligent Transportation Systems Research Center of Wuhan University of Technology.
• June 2025, I received Ph.D. degree in transportation engineering from Central South University.
• June 2025, our paper “A variable speed limit control approach for freeway tunnels based on the model-based reinforcement learning framework with safety perception.” (authors: Jin J, Huang H, Li Y.) became an ESI highly cited paper.
• March 2025: Our paper “A Connected-Automated Vehicles-Based Dynamic Speed Limit Control Strategy for Improving Safety and Efficiency of Freeway Tunnels: An Augmented Lagrange Safe Reinforcement Learning Framework.” (authors: Jin J, Li Y, Huang H.) was accepted by IEEE Internet of Things Journal.
• January 2025: Our paper “Collision causal discovery and real-time prediction of freeway tunnels: A novel dual-task approach.” (authors: Jin J, Huang H, Li Y.) was accepted by Tunnelling and Underground Space Technology.
• December 2024: Our paper “Variable speed limit control strategy for freeway tunnels based on a multi-objective deep reinforcement learning framework with safety perception.” (authors: Jin J, Huang H, Li Y.) was accepted by Expert Systems with Applications.