, Margherita Cesetti, Luca Brunello, Marco Antonelli, , Francesco Silvestri
GenAI4MoDA@MDM 2024, 1st Workshop on Generative AI for Mobility Data
Bruxelles, 24 giugno 2024
Abstract
This paper presents an innovative chatbot architecture designed to support decision-making in the context of mobility data, leveraging recent advancements in Large Language Models (LLMs). As transportation systems and locationbased services produce more data, understanding human mobility patterns and providing relevant insights becomes critical for effective decision-making. The chatbot aims to offer a user-friendly tool that allows users to interact with mobility datasets through natural language, preventing the end user from writing complex SQL queries and allowing them to create data visualization on the fly.
Index Terms – Mobility data, Large Language Models, decision making, agents
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