Intelligent Transportation Systems: A Survey on Data Engineering

Safa Batita, Achraf Makni, Ikram Amous

2024

Abstract

This paper presents an examination of data engineering within Intelligent Transportation Systems (ITS), focusing on integrating advanced technologies such as Real-Time Databases (RT-DBs), Graph Databases (GDBs), and Artificial Intelligence (AI) to improve ITS capabilities. The decision to focus on database systems and AI in this paper is based on their crucial roles in shaping modern transportation systems and offers a comprehensive view of the technological framework influencing ITS. Through an extensive review of existing literature, the paper explores how these solutions synergistically contribute to data collection, organization, processing, and extraction of value from various ITS data. The paper analyzes the transformative impact of real-time data management in connected vehicle systems and the efficacy of GDBs in capturing complex relationships within intelligent transportation networks. Additionally, it assesses the adaptability of AI in various ITS applications, including traffic prediction, driver assistance, and accident analysis. Despite their benefits, the paper discusses persistent challenges related to system complexity, interoperability, data management, and model accuracy, which impact the widespread deployment of ITS. Furthermore, the paper presents recommendations for addressing these challenges and emphasizes research directions that require further exploration, underscoring the importance of intelligent and efficient transportation worldwide.

Paper Citation

in Harvard Style

Batita S., Makni A. and Amous I. (2024). Intelligent Transportation Systems: A Survey on Data Engineering. In Proceedings of the 13th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-707-8, SciTePress, pages 169-179. DOI: 10.5220/0012857300003756

in Bibtex Style

@conference{data24,
author={Safa Batita and Achraf Makni and Ikram Amous},
title={Intelligent Transportation Systems: A Survey on Data Engineering},
booktitle={Proceedings of the 13th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2024},
pages={169-179},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012857300003756},
isbn={978-989-758-707-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - Intelligent Transportation Systems: A Survey on Data Engineering
SN - 978-989-758-707-8
AU - Batita S.
AU - Makni A.
AU - Amous I.
PY - 2024
SP - 169
EP - 179
DO - 10.5220/0012857300003756
PB - SciTePress