A Systematic Review Of Multi-Agent Systems And Mobile Edge Computing In Intelligent Transportation Systems

The Internet of Vehicles (IoV) can be identified as the most progressive evolutionary stage in the development of Intelligent Transportation Systems (ITS), being, in fact, the result of a merging of modern communication technologies with the traditional vehicle network.This review provides an in-depth survey of the current state of knowledge regarding Multi-Agent Systems (MAS) and Mobile Edge Computing (MEC) applications in Intelligent Transportation Systems.The review further explored the MEC and MAS mechanisms as technological solutions of modern times, as they enable real-time data processing and intelligent decision-making at the edge of the network.This analysis ascertains the gaps in the literature.Further, it explores the subject within the broader scholarship, thereby defining the study objectives in the arena of improving ITS through Internet of Vehicles (IoV) technologies.

Authors

Publication Details

Journal
Journal of Soft Computing and Data Mining
Published
2025-06-30
DOI
https://doi.org/10.30880/jscdm.2025.06.01.012
Citations
3
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
3.02
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article

A Systematic Review Of Multi-Agent Systems And Mobile Edge Computing In Intelligent Transportation Systems

Hassan Mohamed, Ahmed Fakhfakh, Hend Marouane
3 citations
Journal of Soft Computing and Data Mining
Traffic Prediction and Management Techniques
3.02
article

A Systematic Review Of Multi-Agent Systems And Mobile Edge Computing In Intelligent Transportation Systems

Hassan Mohamed, Ahmed Fakhfakh, Hend Marouane
article en
3 citations

Abstract

The Internet of Vehicles (IoV) can be identified as the most progressive evolutionary stage in the development of Intelligent Transportation Systems (ITS), being, in fact, the result of a merging of modern communication technologies with the traditional vehicle network.This review provides an in-depth survey of the current state of knowledge regarding Multi-Agent Systems (MAS) and Mobile Edge Computing (MEC) applications in Intelligent Transportation Systems.The review further explored the MEC and MAS mechanisms as technological solutions of modern times, as they enable real-time data processing and intelligent decision-making at the edge of the network.This analysis ascertains the gaps in the literature.Further, it explores the subject within the broader scholarship, thereby defining the study objectives in the arena of improving ITS through Internet of Vehicles (IoV) technologies.

Journal of Soft Computing and Data MiningVol. 6(1)
Openalex Percentile: Top 9%
Traffic Prediction and Management Techniques
3.02
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A Systematic Review Of Multi-Agent Systems And Mobile Edge Computing In Intelligent Transportation Systems — Hassan Mohamed, Ahmed Fakhfakh, et al. · Journal of Soft Computing and Data Mining (2025) | TGRS Research Map | TGRS