연구
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연구성과
Large Language Model (LLM) for smarter human-machine Interaction
(LLM-based multimodal warning system, safety validation of LLM for autonomous vehicle, etc.)
LLM-based Driver Assistance Agent
LLM-based Driver Assistance Agent
Driving simulation
(older drivers in aging society, work-related driver distraction, connected environment, etc.)
Performance indicators
Safety of Connected Human Driven Vehicles (CHDVs)
- Surrounding traffic information - V2X communications
- Safety effects of a connected environment
- Unexpected information delay
🔹Driving simulator experiments
Travel behavior analysis
(travel choice in post-pandemic world, passenger preference for tomorrow’s vehicles, travel choice of multi-modal services, etc.)
SP Choice Scenario
Individual vs. Group decision making
Mode choice probability variation with the crowding level
VR Simulation/ Immersive Simulation Platform
(smart interaction/communication between pedestrians and vehicles, smart infrastructure, urban walkability, pedestrian safety, etc.)
Immersive Simulation Platform
Crash risk analysis
(using statistical models to analyze the crash data, AV crash/incident data, missing information, data imputation, imbalanced dataset, etc.)
Mapping crash data into road network using GIS
