2 papers
cs.LG2026
Feasible and Novel Synthetic Population Generation with Tabular and Sequential Travel Attributes
Farbod Abbasi, Zachary Patterson, Bilal Farooq
Synthetic populations are critical inputs for activity-based travel demand models, yet generating realistic populations from limited survey data remains challenging. Small samples…
cs.AI2026
Enhancing Diversity and Feasibility: Joint Population Synthesis from Multi-source Data Using Generative Models
Farbod Abbasi, Zachary Patterson, Bilal Farooq
Generating realistic synthetic populations is essential for agent-based models (ABM) in transportation and urban planning. Current methods face two major limitations. First, many r…