3 papers
cs.HC2026
XARA: A Multimodal Agentic System for eXtended Reality Experiment Generation
Tareq Alsaleh, Thomas Zhao, Luke Guardino +3
Controlled experiments are essential for advancing transportation research, yet designing eXtended Reality (XR) environments for behavioural studies remains technically demanding a…
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…