Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends

Recently, artificial intelligence (AI) technology has great attention in transportation systems, which led to the emergence of a new concept known as Internet of Vehicles (IoV). The IoV has been associated with the IoT revolution and has become an active field of research due to the great need, in a...

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Main Authors: Lina Elmoiz Alatabani, Elmustafa Sayed Ali, Rania A. Mokhtar, Rashid A. Saeed, Hesham Alhumyani, Mohammad Kamrul Hasan
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2022/1947886
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author Lina Elmoiz Alatabani
Elmustafa Sayed Ali
Rania A. Mokhtar
Rashid A. Saeed
Hesham Alhumyani
Mohammad Kamrul Hasan
author_facet Lina Elmoiz Alatabani
Elmustafa Sayed Ali
Rania A. Mokhtar
Rashid A. Saeed
Hesham Alhumyani
Mohammad Kamrul Hasan
author_sort Lina Elmoiz Alatabani
collection DOAJ
description Recently, artificial intelligence (AI) technology has great attention in transportation systems, which led to the emergence of a new concept known as Internet of Vehicles (IoV). The IoV has been associated with the IoT revolution and has become an active field of research due to the great need, in addition to the increase in the various applications of vehicle communication. AI provides unique solutions to enhance the quality of services (QoS) and performance of IoV systems as well. In this paper, some concepts related to deep learning networks will be discussed as one of the uses of machine learning in IoV systems, in addition to studying the effect of neural networks (NNs) and their types, as well as deep learning mechanisms that help in processing large amounts of unclassified data. Moreover, this paper briefly discusses the classification and clustering approaches in predicative analysis and reviews their abilities to enhance the performance of IoV application systems.
format Article
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institution Kabale University
issn 2042-3195
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-8b30951c378a4b298efb89753faa10242025-02-03T06:05:48ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/1947886Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future TrendsLina Elmoiz Alatabani0Elmustafa Sayed Ali1Rania A. Mokhtar2Rashid A. Saeed3Hesham Alhumyani4Mohammad Kamrul Hasan5Department of Data Communications & Network EngineeringDepartment of Electrical and Electronics EngineeringDepartment of Computer EngineeringDepartment of Computer EngineeringDepartment of Computer EngineeringCenter for Cyber SecurityRecently, artificial intelligence (AI) technology has great attention in transportation systems, which led to the emergence of a new concept known as Internet of Vehicles (IoV). The IoV has been associated with the IoT revolution and has become an active field of research due to the great need, in addition to the increase in the various applications of vehicle communication. AI provides unique solutions to enhance the quality of services (QoS) and performance of IoV systems as well. In this paper, some concepts related to deep learning networks will be discussed as one of the uses of machine learning in IoV systems, in addition to studying the effect of neural networks (NNs) and their types, as well as deep learning mechanisms that help in processing large amounts of unclassified data. Moreover, this paper briefly discusses the classification and clustering approaches in predicative analysis and reviews their abilities to enhance the performance of IoV application systems.http://dx.doi.org/10.1155/2022/1947886
spellingShingle Lina Elmoiz Alatabani
Elmustafa Sayed Ali
Rania A. Mokhtar
Rashid A. Saeed
Hesham Alhumyani
Mohammad Kamrul Hasan
Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends
Journal of Advanced Transportation
title Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends
title_full Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends
title_fullStr Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends
title_full_unstemmed Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends
title_short Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends
title_sort deep and reinforcement learning technologies on internet of vehicle iov applications current issues and future trends
url http://dx.doi.org/10.1155/2022/1947886
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