Research Focus and Key Topics

Laboratory Divisions

Our Mission

IMPACTs strives to develop solutions that enhance everyday life for people and protect the natural environment, aligned with evolving technological innovations. Six member labs carry that mission across four core research domains.

6member labs, one shared mission

Transport Planning & Operations

Human Factors & Safety

Mobility Intelligence & Data Science

Autonomous Systems

TOPS

Transportation Operation and Planning for Sustainability Lab

PIProf. Kitae Jang

Transportation InformationNatural and Built Environments • Data Analytics

Transportation OperationFleet Operation and Management • Traffic Signal Optimization • Future Mobility Systems and Services

Vehicular TechnologyDriving Behavior • Vehicle Monitoring Systems

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TUPA

Transport and Urban Planning Arena

PIProf. Inhi Kim

Traffic PlanningBig Data Analytics and Visualization • Green Transportation • Traffic Safety

Digital TwinVR Driving Simulator Platform • SLAM for Autonomous Vehicles Using AI

Traffic SimulationTraffic Signal Optimization

Traffic PredictionImputation of Missing Data • 3D Convolutional Networks for Traffic Forecasting • Short-Term Prediction for Bike-Sharing Services Using Machine Learning

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HFACTS

Human Factors Centered Transport Safety Laboratory

PIProf. Nicole (Tiantian) Chen

Human Factors and Transport SystemsTraffic Safety and Applications of Statistical Methods • Travel Behavior Analysis and Transport Policy • Driving Behavior and Simulator Experiments • Connected and Autonomous Vehicles, Human Factors, and Human-Centered Design

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MINDS

Mobility Intelligence and Data Science Lab

PIProf. Changju Lee

Transport PolicySustainable Transportation Policies • Urban and Transportation Economics

Mobility PlanningSmart and Low-Carbon Mobility Planning • Applications of Big Data & Machine Learning • AI City Mobility Planning

Climate and Sustainability SolutionsMobility Technologies for Climate Change Issues • Transportation ODA & Global Cooperation

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Fall 2026

ACES

Autonomous Cognitive and Embodied Systems Lab

PIProf. Heye Huang

Trustworthy Safety-Critical SystemsRisk Perception and Cognition • Interactive Decision-Making • Safety Evaluation for Autonomous Systems

Generative AI and World ModelsLLMs for Reasoning and Decision • Diffusion Models for Long-Tail Scenario Generation • Multimodal Models for Prediction and Reasoning

Foundation Models and AgentsMemory-Augmented Agents • Embodied Intelligence • Agent-Based Autonomy for Mobility and Robotics

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ID

Innovative Design Lab

PIProf. Ingwun Jang

Design Optimization of Mobility SystemsRoute Representation Methodology • Sensitivity Analysis • Gradient-Based Mobility System Optimization

Vehicle Routing ProblemsShortest Path Problem • Traveling Salesman Problem • Vehicle Routing Using Deep Learning

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