Research Areas Research Areas Our Research — methodologies and applications INSPIRE Lab develops three methodological pillars — network optimization, artificial intelligence, and data analytics & simulation — and applies them across six infrastructure domains spanning resilience, energy, freight, autonomous systems, smart mobility, and clean energy. Methodologies — how we research Methodology · 01 Network Optimization Mathematical optimization for large-scale transportation and infrastructure networks, including routing, equilibrium analysis, and multi-agent decision-making under uncertainty. Routing & Flow Equilibrium Multi-Agent Systems Stochastic Optimization Explore Network Optimization → Methodology · 02 Artificial Intelligence Machine learning, deep learning, and large language models applied to infrastructure analytics, decision support, and adaptive control in transportation systems. Deep Learning Reinforcement Learning LLMs Predictive Modeling Explore Artificial Intelligence → Methodology · 03 Data Analytics & Simulation Data-driven modeling, statistical analysis, and high-fidelity simulation for understanding, monitoring, and forecasting infrastructure system behavior. Digital Twins Agent-Based Simulation Statistical Inference Sensor Data Explore Data Analytics & Simulation → Applications — where we apply it Application · 01 Infrastructure Resilience Designing transportation and power systems that withstand, absorb, and rapidly recover from disruptions including natural disasters, demand surges, and extreme weather. Power Restoration Emergency Evacuation Disaster Response Reliability Explore Infrastructure Resilience → Application · 02 EVs & Power Systems Integrating electric vehicles with the power grid through charging infrastructure planning, flexibility quantification, and bidirectional energy flow (V2G) strategies. Charging Infrastructure Charging Flexibility V2G Spatiotemporal Pricing Explore EVs & Power Systems → Application · 03 Freight Transportation Modeling and optimizing freight logistics, decarbonization pathways, and the deployment of autonomous and alternative-fuel heavy-duty trucks for sustainable goods movement. Routing & Platooning Hydrogen FCEV Decarbonization Autonomous Trucks Explore Freight Transportation → Application · 04 Autonomous Mobility Advancing autonomous vehicle decision-making, traffic flow optimization, and LLM-empowered driving systems while quantifying impacts on networks and infrastructure. LLM-Driven Decisions Variable Speed Limits Traffic Control AV Impacts Explore Autonomous Mobility → Application · 05 Smart Mobility Connected and data-driven mobility systems leveraging information sharing, dynamic pricing, and intelligent transit operations for efficient and equitable travel. Information Sharing Spatial Pricing Transit Operations Multimodal Mobility Explore Smart Mobility → Application · 06 Clean Energy Sustainable energy integration with infrastructure systems through renewable generation planning, smart grid operations, and clean fuels including green hydrogen. Renewable Generation Smart Grid Hydrogen Decarbonization Explore Clean Energy →
