Review of the Contributions of UAVs and Artificial Intelligence in Intelligent Transportation Systems

Urban transport infrastructures are continuously faced with challenges such as traffic congestion, accidents, pollution, wear and tear. Traditional traffic management technologies (such as traffic lights and static cameras) have shown their limitations, whereas Intelligent Transportation Systems (ITS) integrating the Internet of Things, drones, and Artificial Intelligence offer powerful tools to proactively and efficiently address these issues. ITS aim to enhance the efficiency, safety, and sustainability of transportation networks by leveraging advanced technologies. In this context, drones and AI play a central role in tackling the growing challenges of urbanization, increasing traffic, and the need for smarter infrastructures. This work reviews the contributions of Unmanned Aerial Vehicles and Artificial Intelligence in Intelligent Transportation Systems. A literature review is conducted to identify similar studies and assess the state of research on the topic. An analysis of the various applications of IoT, drones, and AI provides an evaluation of their contributions to ITS. Despite significant challenges, drones and AI have revolutionized the field of intelligent transportation.

Authors

Publication Details

Journal
Journal of Machine Learning and Deep Learning
Published
2025-06-30
DOI
https://doi.org/10.64820/aepjmldl.21.1.10.62025
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

Review of the Contributions of UAVs and Artificial Intelligence in Intelligent Transportation Systems

M. Tall, Jean Marie Dembélé, Moustapha Ndiaye, Ousmane Sadio et al.
Journal of Machine Learning and Deep Learning
Impact of AI and Big Data on Business and Society
article

Review of the Contributions of UAVs and Artificial Intelligence in Intelligent Transportation Systems

M. Tall, Jean Marie Dembélé, Moustapha Ndiaye, Ousmane Sadio, Kevin Leahy, Adama Coulibaly, Ibrahima Ngom, Ibrahima Diagne
article en

Abstract

Urban transport infrastructures are continuously faced with challenges such as traffic congestion, accidents, pollution, wear and tear. Traditional traffic management technologies (such as traffic lights and static cameras) have shown their limitations, whereas Intelligent Transportation Systems (ITS) integrating the Internet of Things, drones, and Artificial Intelligence offer powerful tools to proactively and efficiently address these issues. ITS aim to enhance the efficiency, safety, and sustainability of transportation networks by leveraging advanced technologies. In this context, drones and AI play a central role in tackling the growing challenges of urbanization, increasing traffic, and the need for smarter infrastructures. This work reviews the contributions of Unmanned Aerial Vehicles and Artificial Intelligence in Intelligent Transportation Systems. A literature review is conducted to identify similar studies and assess the state of research on the topic. An analysis of the various applications of IoT, drones, and AI provides an evaluation of their contributions to ITS. Despite significant challenges, drones and AI have revolutionized the field of intelligent transportation.

Journal of Machine Learning and Deep LearningVol. 2(1)
Openalex Percentile: Top 72%
Impact of AI and Big Data on Business and Society
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Review of the Contributions of UAVs and Artificial Intelligence in Intelligent Transportation Systems — M. Tall, Jean Marie Dembélé, et al. · Journal of Machine Learning and Deep Learning (2025) | TGRS Research Map | TGRS