- Jose Tupayachi (*), Haowen Xu, Olufemi A. Omitaomu, Mustafa Can Camur, Aliza Sharmin, and Xueping Li (2024). Towards Next-Generation Urban Decision Support Systems through AI-Powered Construction of Scientific Ontology Using Large Language Models—A Case in Optimizing Intermodal Freight Transportation. Smart Cities, Vol. 7, pp. 2392–2421.
WSC’24
- Assessing the Effects of Container Handling Strategies on Enhancing Freight Throughput
- PortalLite Towns: Investigating the Viability and Impact of Distributed Small Ports Network in Enhancing Accessibility and Sustainability
TRB’25
- Investigating Resiliency of Transportation Network Under Targeted and Potential Climate Change Disruptions
- Inter-Regional Empty Container Repositioning Reduction: In Route Container Sharing with Demand Visibility and Extended Port Stay
- A Two-Stage Stochastic Model for Road-Rail Intermodal Freight Transport with Carbon Emission Reduction
- Mobility Enhancement through Shared Autonomous Vehicles and Public Transportation Coupling
CIE’51
- Empowering Cognitive Digital Twins with Generative Foundation Models: Developing a Low-Carbon Integrated Freight Transportation System
INFORMS 2024
- Empowering Simulation Modeling: An Automated Ontology Framework Enhanced by Large Language Models
- A Simulation-Enabled Optimization Framework for Intermodal Freight Transportation
- Drone Pickup and Delivery System for Smart Cities
- Energy Transaction Optimization of Hydrogen-Fueled Charging Station with Local Building Prosumers
- Simulation-Based Decision Support for Intermodal Transport Optimization with Container Consolidation under Demand Uncertainty and Limited Carbon Emission