Vehicular Communications for Cooperative and Automated Mobility

A special issue of World Electric Vehicle Journal (ISSN 2032-6653).

Deadline for manuscript submissions: 31 July 2025 | Viewed by 2035

Special Issue Editors


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Guest Editor
Department of Information Technology, University of Applied Sciences and Arts Dortmund, Dortmund, Germany
Interests: distributed systems; mobile communication; vehicular and campus networks; Internet of Things (IoT); intelligence; autonomous driving and mobile robotics

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Guest Editor
Corporate Research, Robert Bosch GmbH, Hildesheim, Germany
Interests: V2X communication; cooperative automated driving; C-ITS; standardization

Special Issue Information

Dear Colleagues,

Vehicular communication plays a crucial role in enabling communication between vehicles and infrastructure, allowing for the seamless flow of information that enhances safety and efficiency in an automotive domain as well as in industrial environments by assisting automated guided vehicles. By leveraging wireless sensors for vehicular communication, moving vehicles can receive timely and relevant information that helps them make informed decisions while on the road.

Moreover, vehicular communication is essential for the successful deployment of automated driving technologies, enabling vehicles to communicate and cooperate with each other and to navigate roads safely and efficiently. As technology continues to advance, the integration of communication systems with automated driving will play an increasingly important role in shaping the future of transportation.

DSRC (Dedicated Short-Range Communication) and 5G-V2X (Vehicle-to-Everything) are two communication technologies that play a significant role in enabling communication between vehicles and infrastructure in the context of connected and automated driving. While DSRC operates in the 5.9 GHz frequency band and is based on the IEEE 802.11p standard, enabling low-latency, high-reliability communication for vehicle safety applications, 5G-V2X leverages the advanced capabilities of 5G networks, such as high data rates, low latency, and network slicing, to support a wide range of connected and automated driving applications.

However, regardless of the selected communication technology, the performance of vehicular communication systems is critical for ensuring a reliable and latency-free cooperation between traffic participants. By adequately addressing key communication factors such as reliability, latency, range, security, and scalability, researchers can create robust communication systems that enhance the driving experience and improve road safety for all users.

This Special Issue is devoted to vehicular communication technologies and systems to support cooperative, connected, and automated mobility. Authors are invited to contribute to this Special Issue with their contributions to the advancement of vehicular communication technologies, whether at the technological level or as a novel application in any of the mentioned fields.

Prof. Dr. Hugues Tchouankem
Dr. Ignacio Llatser
Guest Editors

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Keywords

  • V2X-communication (V2V, V2I)
  • 5G-V2X communication
  • 6G and emerging technologies for V2X use cases
  • satellite networks (ntn for v2x)
  • channel propagation models
  • machine learning for V2X communication
  • predictive quality of service (pQoS)
  • innovative V2X applications
  • positioning technologies, localization, and navigation
  • protocols, security and services for vehicular networks
  • vehicular electronics and intelligent transportation
  • connected and autonomous automated guided vehicles
  • V2X performance evaluation (simulation/experimental analysis)
  • co-design intelligent transportation and V2X communication
  • functional safety techniques for V2X
  • security and privacy for V2X
  • AI-aided collective perception

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Published Papers (1 paper)

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46 pages, 12966 KiB  
Article
VRDeepSafety: A Scalable VR Simulation Platform with V2X Communication for Enhanced Accident Prediction in Autonomous Vehicles
by Mohammad BaniSalman, Mohammad Aljaidi, Najat Elgeberi, Ayoub Alsarhan and Rabia Emhamed Al Mamlook
World Electr. Veh. J. 2025, 16(2), 82; https://doi.org/10.3390/wevj16020082 - 6 Feb 2025
Viewed by 1471
Abstract
Safe real-world navigation for autonomous vehicles (AVs) requires robust perception and decision-making, especially in complex, multi-agent scenarios. Existing AV datasets are limited by their inability to capture diverse V2X communication scenarios, lack of synchronized multi-sensor data, and insufficient coverage of critical edge cases [...] Read more.
Safe real-world navigation for autonomous vehicles (AVs) requires robust perception and decision-making, especially in complex, multi-agent scenarios. Existing AV datasets are limited by their inability to capture diverse V2X communication scenarios, lack of synchronized multi-sensor data, and insufficient coverage of critical edge cases in multi-vehicle interactions. This paper introduces VRDeepSafety, a novel and scalable VR simulation platform that overcomes these limitations by integrating Vehicle-to-Everything (V2X) communication, including realistic latency, packet loss, and signal prioritization, to enhance AV accident prediction and mitigation. VRDeepSafety generates comprehensive datasets featuring synchronized multi-vehicle interactions, coordinated V2X scenarios, and diverse sensor data, including visual, LiDAR, radar, and V2X streams. Evaluated with our novel deep-learning model, VRFormer, which uniquely fuses VR sensor data with V2X using a probabilistic Bayesian inference, as well as a hierarchical Kalman and particle filter structure, VRDeepSafety achieved an 85% accident prediction accuracy (APA) at a 2 s horizon, a 17% increase in 3D object detection precision (mAP), and a 0.3 s reduction in response time, outperforming a single-vehicle baseline. Furthermore, V2X integration increased APA by 15%. Extending the prediction horizon to 3–4 s reduced APA to 70%, highlighting the trade-off between prediction time and accuracy. The VRDeepSafety high-fidelity simulation and integrated V2X provide a valuable and rigorous tool for developing safer and more responsive AVs. Full article
(This article belongs to the Special Issue Vehicular Communications for Cooperative and Automated Mobility)
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