I am a Ph.D. Candidate in 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 analysis
• Traffic safety Spatio-temporal modeling
• Proactive traffic control

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

• 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