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cs.AI2025
Aligning LLM agents with human learning and adjustment behavior: a dual agent approach
Tianming Liu, Jirong Yang, Yafeng Yin +3
Effective modeling of how human travelers learn and adjust their travel behavior from interacting with transportation systems is critical for system assessment and planning. Howeve…
cs.AI2025
Aligning LLM with human travel choices: a persona-based embedding learning approach
Tianming Liu, Manzi Li, Yafeng Yin
The advent of large language models (LLMs) presents new opportunities for travel demand modeling. However, behavioral misalignment between LLMs and humans presents obstacles for th…
cs.AI2024★ 1 cited
Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Framework
Tianming Liu, Jirong Yang, Yafeng Yin
In transportation system demand modeling and simulation, agent-based models and microsimulations are current state-of-the-art approaches. However, existing agent-based models still…