Large language models in route choice: effects of feedback information on decision behavior and system outcomes
This paper develops a multi-agent simulation framework based on large language models (LLMs) to study repeated routechoice behavior. In this framework, multiple LLM agents repeatedly make route-choice decisions under two feedback conditions: full-information feedback (FI) and partial-information feedback (PI). The expe...