Challenges and Opportunities in the Internet of Vehicles

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".

Deadline for manuscript submissions: 15 July 2025 | Viewed by 1264

Special Issue Editors


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Guest Editor
Department of Technology Systems, East Carolina University, Greenville, NC 27858, USA
Interests: misbehavior and intrusion detection in the IoV; cellular-based vehicular communication networks; security and privacy in vehicular communication networks; explainable AI for intrusion detection

E-Mail Website
Guest Editor
Department of Computer and Information Science, The University of Mississippi, Oxford, MS 38677, USA
Interests: cyber security and privacy in IoV; cloud computing and edge computing; machine learning; artificial intelligence

E-Mail Website
Guest Editor
Department of Computer Science and Cybersecurity, University of Central Missouri, Warrensburg, MO 38677, USA
Interests: security and privacy in vehicular networks; location privacy in IoV; security in 5G networks

Special Issue Information

Dear Colleagues,

In recent years, there has been growing interest in intelligent transportation systems aimed at improving the safety and efficiency of transportation networks. Research efforts have been directed towards various areas such as the Internet of Vehicles (IoV), security and privacy concerns within vehicular networks, as well as advancements in vehicular edge and fog computing. These developments have paved the way for the deployment of smart vehicular systems, ranging from vehicle-to-everything communication (V2X) capabilities to the emergence of autonomous vehicles.

This Special Issue aims to delve into the multifaceted challenges and burgeoning opportunities within the IoV. We invite high-quality technical papers that focus on innovative and emerging technologies and services in the IoV, from both theoretical and practical perspectives.  Submissions of original research work on all topics related to the IoV are welcome. Furthermore, we welcome survey papers that shed light on emerging trends and new research frontiers.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

  • Security and privacy in the IoV
  • AI- and machine learning-enabled techniques for the IoV
  • Vehicular cloud and edge computing
  • Federated learning and distributed AI in vehicular networks
  • Resource allocations in vehicular networks
  • Simulations and modeling for the IoV
  • Connected autonomous vehicles
  • IoV infrastructure and hardware systems
  • Datasets, benchmarks, and open-source tools
  • Trustworthy AI systems
  • Distributed computing in the IoV
  • Digital Twin in the IoV
  • Privacy and security in vehicular networks
  • Misbehavior and intrusion detection in the IoV
  • Smart transportation
  • Explainable AI for vehicular communication networks
  • 5G- and 6G-based vehicular communication networks
  • Challenges, solutions, and opportunities in the IoV

We look forward to receiving your contributions.

Dr. Sohan Gyawali
Dr. Yili Jiang
Dr. Jiaqi Huang
Guest Editors

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Keywords

  • internet of vehicles
  • intelligent transportation system
  • V2X communications
  • misbehavior detection
  • privacy and security
  • explainable AI
  • edge computing
  • fog computing
  • 5G-based IoV

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Published Papers (1 paper)

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Research

25 pages, 3311 KiB  
Article
A VANET, Multi-Hop-Enabled, Dynamic Traffic Assignment for Road Networks
by Wilmer Arellano and Imad Mahgoub
Electronics 2025, 14(3), 559; https://doi.org/10.3390/electronics14030559 - 30 Jan 2025
Cited by 1 | Viewed by 816
Abstract
Traffic congestion imposes burdens on society and individuals. In 2022, the average congestion cost per auto commuter in the USA was USD1259. New possibilities to increase traffic efficiency are now available as vehicles can interact using Vehicular Ad Hoc Network (VANET) systems, a [...] Read more.
Traffic congestion imposes burdens on society and individuals. In 2022, the average congestion cost per auto commuter in the USA was USD1259. New possibilities to increase traffic efficiency are now available as vehicles can interact using Vehicular Ad Hoc Network (VANET) systems, a subset of the Internet of Vehicles (IoV). The traffic assignment problem deals with road network traffic optimization. It is a complex and challenging problem. A few solutions incorporating VANET technology have been presented; most are centralized or depend on infrastructure. In previous work, we introduced Road-ACO, an ant colony optimization (ACO), single-hop, decentralized, infrastructure-less, VANET solution. In this paper, we propose a new multi-hop-enabled, decentralized, ant-colony-inspired algorithm for dynamic highway traffic assignment. The algorithm works for large road networks and requires no infrastructure. We develop Veins framework-based simulations to evaluate the algorithm’s performance. The results indicate that the proposed algorithm consistently outperforms Road-ACO and performs optimally on road segments up to 4000 m long, with improvements of up to 40% on average travel time. Full article
(This article belongs to the Special Issue Challenges and Opportunities in the Internet of Vehicles)
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