Ph.D Degree
Unsupervised Deep Pattern Clustering for Risk Prediction in Driving Behaviors and Road Segments via Autonomous Vehicle Data
Younghoon Seo
Feb, 2026
M.S. Degree
Classification of Driving Behaviors Based on Clustering of Real-World Trajectory Data
Jihye You
Feb, 2026
Development of a Multi-Stage Spatial Transition-Based Method for Hierarchical Classification of Traffic Incident Impact Zones
Sungmin Yoo
Feb, 2026
Development of a Take-over Occurrence Prediction Model Using Real-Road Autonomous Driving Data
Eungju Lee
Feb, 2026
LLM-Based Contextual Understanding of Real-World Driving Behavior and Realistic Reproduction in Traffic Simulation
Chiwoo Roh
Aug, 2025
Research on Development of Traffic Signal Optimization Operation Framework Based on Imitation Learning
Eugene Lee
Feb, 2025
Development of an Artificial Intelligence-Based Traffic Accident Severity Prediction Model Using Structured and Unstructured Traffic Accident Data
Haneul Park
Feb, 2024
Optimization of Automated Driving Parameters Based on Road Hierarchy and Characteristic
Gyungtaek Oh
Feb, 2023
A Stated Preference Analysis of Smart Mobility Services among Urban Mobility Hubs
Jiho Hong
Feb, 2023