AI-assisted discrete-event simulation of public transport systems: a framework for rapid model development
This study presents a systematic, modular prompt-construction framework for using Artificial Intelligence (AI) to assist simulation modelers in public transportation systems, leveraging large language models (LLMs). By using GPT-4o and Codex, we demonstrate how discrete-event simulation (DES) executable models can be r...
Arry Rahmawan Destyanto, Melinda Nurimannisa, Dendy Rio Casillas Pratama
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