4 papers
Per-Shipment Multi-Agent Reinforcement Learning for Intermodal Freight Routing Under Hurricane Disruption
Aliza Sharmin, Xudong Wang, Mustafa Can Camur +1
Intermodal freight networks face growing disruption risk from climate extremes that degrade multiple corridors simultaneously. To address this, we formulate freight routing as a De…
Dynamic Disruption Resilience in Intermodal Transport Networks: Integrating Flow Weighting and Centrality Measures
Aliza Sharmin, Bharat Sharma, Mustafa Can Camur +2
Resilient intermodal freight networks are vital for sustaining supply chains amid increasing threats from natural hazards and cyberattacks. While transportation resilience has been…
A Review on Intermodal Transportation and Decarbonization: An Operations Research Perspective
Madelaine Martinez Ferguson, Aliza Sharmin, Mustafa Can Camur +1
This paper reviews intermodal transportation systems and their role in decarbonizing freight networks from an operations research perspective, analyzing over a decade of studies (2…
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
Jose Tupayachi, Haowen Xu, Olufemi A. Omitaomu +3
The incorporation of Artificial Intelligence (AI) models into various optimization systems is on the rise. Yet, addressing complex urban and environmental management problems norma…