Next Generation Mobility and Logistics International Lab
The Next Generation Mobility and Logistics International Lab serves as a premier global research consortium dedicated to advancing fundamental and applied research in transportation systems and supply chain science. Our laboratory operates as an internationally collaborative research platform where distinguished scholars and researchers from multiple continents unite to investigate the theoretical foundations and emerging paradigms of mobility and logistics systems.
Through rigorous research methodologies encompassing advanced optimization theory, computational simulation, and predictive modeling, we explore the complex dynamics of contemporary transportation networks and global logistics architectures. Our international research initiatives span autonomous systems theory, smart infrastructure modeling, network optimization algorithms, multimodal transportation analysis, and resilient logistics system design.
The laboratory’s research framework integrates cutting-edge computational technologies including artificial intelligence, machine learning algorithms, digital twin methodologies, distributed sensing networks, and quantum optimization approaches to conduct comprehensive investigations into mobility patterns and logistics phenomena across diverse international contexts. Our collaborative research network extends across universities, research institutions, and academic centers worldwide, fostering cross-cultural knowledge exchange and interdisciplinary scholarly dialogue.
Our international team of principal investigators, postdoctoral researchers, and doctoral candidates engages in collaborative research projects that examine emerging theoretical constructs such as autonomous transportation systems, intelligent logistics networks, sustainable mobility paradigms, and adaptive supply chain resilience. Through sustained international collaboration and rigorous peer review processes, we advance the scientific understanding of next-generation mobility and logistics systems while contributing to the global knowledge base that will inform future transportation and logistics research directions.
Research Areas
Low Altitude Economy & Airspace Optimization
Dynamic Airspace Management for Urban Aviation
Optimizing three-dimensional airspace and vertiport networks for autonomous aerial vehicles in urban environments.
Focus Areas:
- Multi-objective airspace optimization using AI algorithms
- Strategic vertiport network design and capacity planning
- Real-time traffic management for drone operations
- International regulatory framework development
Autonomous Supply Chain Resilience
AI-Driven Network Optimization Under Uncertainty
Creating intelligent supply chain systems that autonomously adapt to disruptions while maintaining optimal performance.
Focus Areas:
- Resilient network design with predictive modeling
- Autonomous decision-making for supply chain reconfiguration
- Digital twin optimization reducing interruptions by 30%
- Multi-tier global supplier network optimization
Integrated Mobility-as-a-Service (MaaS)
Multi-Modal Urban Transportation Optimization
Developing seamless integration of multiple transportation modes for sustainable, efficient urban mobility ecosystems.
Focus Areas:
- Multi-modal network optimization for end-to-end mobility
- Dynamic pricing and resource allocation systems
- User behavior prediction and network optimization
- Sustainable mobility balancing efficiency and environment