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

Current Research Topics

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

Selected News

• June 2025, I received Ph.D. degree in transportation engineering from Central South University.
• 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.
• August 2024: Our paper “Exploring master scenarios for autonomous driving tests from police-reported historical crash data using an adaptive search sampling framework.” (authors: Li Y, Yang Z, Jin J*, Wu D.) was accepted by Accident Analysis & Prevention.
• June 2024: Our paper “SGIWMARL: Spatial Graph and Importance Weight-based Multi-Agents Reinforcement Learning for Freeway Tunnel Groups Variable Speed Limit Control.” was accepted by Conference of the 30th Anniversary of Transportation Research: Part C (TRC) journal.
• June 2024: Our paper “A variable speed limit control approach for freeway tunnels based on the model-based reinforcement learning framework with safety perception.” (authors: Jieling Jin, Helai Huang, Ye Li et al.) was accepted by Accident Analysis & Prevention.
• December 2023: Our project “Highway Traffic Risk Precision Identification, Intelligent Early Warning and Collaborative Control Technology” (authors: Ye Li, Helai Huang, and Jieling Jin et al.) won the Second Prize of Science and Technology Progress Award by China Communications and Transportation Association .
• November 2023: Our paper “Real-time crash risk prediction in freeway tunnels considering features interaction and unobserved heterogeneity: A two-stage deep learning modeling framework.” (authors: Jieling Jin, Helai Huang, Ye Li et al.) was accepted by Analytic Methods in Accident Research