Advances in Autonomous Vehicular Networks

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

Deadline for manuscript submissions: 15 March 2026 | Viewed by 1574

Special Issue Editors


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Guest Editor
Department of Automotive and Transport Engineering, Transilvania University of Brașov, 500036 Brașov, Romania
Interests: autonomous vehicles; driver assistance systems; mixed reality; human–machine interaction; virtual vehicle testing

E-Mail Website
Guest Editor
Department of Virtual Industrial Informatics and Robotics, Transilvania University of Brașov, 500036 Brașov, Romania
Interests: robotics; virtual reality; artificial intelligence; mechanics; wireless communication
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Automotive and Transport Engineering, Transilvania University of Brașov, 500036 Brașov, Romania
Interests: electric vehicles; electric vehicle battery; photogrammetry; 3D reconstruction; bio-signal analysis

Special Issue Information

Dear Colleagues,

The field of autonomous vehicular networks (AVN) plays a major part in the development of autonomous driving systems. AVNs are communication networks, specifically designed to facilitate the seamless information exchange between autonomous vehicles and their surrounding environment. This interconnected ecosystem promises to revolutionize transportation by enhancing safety, optimizing traffic flow, and paving the way for a more efficient and sustainable transportation system.

This Special Issue brings together the cutting-edge research exploring the various facets of AVNs. The complexity of AVNs requires advanced cybersecurity strategies in order to address potential threats and safeguard communication integrity. We welcome articles focusing on advancements in communication protocols that ensure reliable, secure, and low-latency data exchanges between vehicles, infrastructure, and other network participants. Additionally, we are interested in research regarding cooperative driving strategies. This includes studies that explore how AVs can collaborate within the network to optimize traffic flow, improve safety via collision avoidance protocols, and enhance the overall driving efficiency.

Dr. Gheorghe-Daniel Voinea
Dr. Răzvan Gabriel Boboc
Dr. Cristian-Cezar Postelnicu
Guest Editors

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Keywords

  • autonomous vehicle (AV)
  • autonomous driving systems (ADS)
  • advanced vehicle control
  • driver assistance systems
  • autonomous vehicular clouds and edges
  • internet of vehicles (IoV)
  • advanced vehicular networks
  • connected autonomous vehicles (CAVs)
  • vehicle-to-everything (V2X) communication
  • vehicle-to-vehicle (V2V) communication
  • cooperative driving systems
  • low-latency communication networks
  • cybersecurity

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Published Papers (1 paper)

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Research

25 pages, 6041 KB  
Article
A Dynamic Bridge Architecture for Efficient Interoperability Between AUTOSAR Adaptive and ROS2
by Suhong Kim, Hyeongju Choi, Suhaeng Lee, Minseo Kim, Hyunseo Shin and Changjoo Moon
Electronics 2025, 14(18), 3635; https://doi.org/10.3390/electronics14183635 - 14 Sep 2025
Viewed by 887
Abstract
The automotive industry is undergoing a transition toward Software-Defined Vehicles (SDVs), necessitating the integration of AUTOSAR Adaptive, a standard for vehicle control, with ROS2, a platform for autonomous driving research. However, current static bridge approaches present notable limitations, chiefly regarding unnecessary resource consumption [...] Read more.
The automotive industry is undergoing a transition toward Software-Defined Vehicles (SDVs), necessitating the integration of AUTOSAR Adaptive, a standard for vehicle control, with ROS2, a platform for autonomous driving research. However, current static bridge approaches present notable limitations, chiefly regarding unnecessary resource consumption and compatibility issues with Quality of Service (QoS). To tackle these challenges, in this paper, we put forward a dynamic bridge architecture consisting of three components: a Discovery Manager, a Bridge Manager, and a Message Router. The proposed dynamic SOME/IP-DDS bridge dynamically detects service discovery events from the SOME/IP and DDS domains in real time, allowing for the creation and destruction of communication entities as needed. Additionally, it automatically manages QoS settings to ensure that they remain compatible. The experimental results indicate that this architecture maintains a stable latency even with a growing number of connections, demonstrating high scalability while also reducing memory usage during idle periods compared to static methods. Moreover, real-world assessments using an autonomous driving robot confirm its real-time applicability by reliably relaying sensor data to Autoware with minimal end-to-end latency. This research contributes to expediting the integration of autonomous driving exploration and production vehicle platforms by offering a more efficient and robust interoperability solution. Full article
(This article belongs to the Special Issue Advances in Autonomous Vehicular Networks)
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