Large language models can match or exceed traditional machine learning for travel behavior prediction without task-specific training, and adding visual context from survey images improves performance—showing that multimodal AI can enhance behavioral modeling when integrated with human-centered ...
This paper presents a three-agent workflow that combines chatbot surveys, data processing, and prediction to model how weather affects commuter mode choices. The system collected 454 survey responses about travel preferences across different weather scenarios, then compared traditional statistical models with nine different large language models (2-35B parameters) for predicting travel behavior.