AI x Mobility Lab

AI x Mobility Lab

AI x Mobility Lab deals with design, operation, and management methodologies of transportation systems for sustainable society. Major research fields include modeling and prediction of transportation phenomena, safe and efficient operation of transportation systems using ITS (Intelligent Transportation Systems) combining cutting edge Information and Communication Technologies. Also, they extend to green transportation city design and infrastructure maintenance and management methodologies to reduce Green House Gases.

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Research

Mobility + AI

• Traffic Flow Theory
• Driving Behavior Theory
• Traffic and Collision Risk Prediction
• Mobility Simulation 
• Microscopic/Meso/Macro Simulator
• Pedestrian Simulator/Evacuation 
• Autonomous Mobility 
• AV Control/
• Automated Transit/DRT/Mobility Service Optimization
• Infra-based sensing

Smart Cities and Urban Informatics

• Safety and Resilient Urban System
• Traffic Safety and Accident Analysis
• Safety Management System
• Resilient Urban Infrastructure
• Urban Big Data Analysis
• Real-time urban big data analytics
• Geographic Information Systems and Remote Sensing
• Optimal Urban Land Use 
• EV Charging Station Location Optimisation

Predictive Analytics

• Smart Infrastructure Management 
• Infrastructure Deterioration modeling
• Maintenance decision optimisation for heterogeneous system
• Condition Based Maintenance
• Railway system condition based maintenance system
• Vehicle parts CBM
• CBM action decision making
• Data-driven state prediction
• Future Traffic state prediction
• Risk Prediction