RITSA: Toward a Retrieval-Augmented Generation System for Intelligent Transportation Systems Architecture

Afef Awadid, André Meyer-Vitali, Dominik Vereno, Maxence Gagnant

2025

Abstract

Intelligent Transportation Systems (ITS) have significantly transformed the transportation domain by addressing critical challenges such as traffic safety, cost, and energy efficiency. However, the increasing complexity of ITS—arising from the extensive range of applications and technologies they encompass—has made their architectural design modeling time-consuming and challenging, particularly for modelers lacking specialized expertise. Recent advancements in the literature suggest that large language model (LLM)-based modeling assistants offer a promising solution to mitigate these challenges. In this context, this paper introduces the RAG for Intelligent Transportation Systems Architecture (RITSA) project, which seeks to develop a retrieval-augmented generation (RAG) system to support ITS designers/ modelers throughout the architecture design process.

Paper Citation

in Harvard Style

Awadid A., Meyer-Vitali A., Vereno D. and Gagnant M. (2025). RITSA: Toward a Retrieval-Augmented Generation System for Intelligent Transportation Systems Architecture. In Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - Volume 1: MBSE-AI Integration; ISBN 978-989-758-729-0, SciTePress, pages 466-473. DOI: 10.5220/0013443300003896

in Bibtex Style

@conference{mbse-ai integration25,
author={Afef Awadid and André Meyer-Vitali and Dominik Vereno and Maxence Gagnant},
title={RITSA: Toward a Retrieval-Augmented Generation System for Intelligent Transportation Systems Architecture},
booktitle={Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - Volume 1: MBSE-AI Integration},
year={2025},
pages={466-473},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013443300003896},
isbn={978-989-758-729-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - Volume 1: MBSE-AI Integration
TI - RITSA: Toward a Retrieval-Augmented Generation System for Intelligent Transportation Systems Architecture
SN - 978-989-758-729-0
AU - Awadid A.
AU - Meyer-Vitali A.
AU - Vereno D.
AU - Gagnant M.
PY - 2025
SP - 466
EP - 473
DO - 10.5220/0013443300003896
PB - SciTePress