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Electronics
Special Issues
Advancements in Autonomous Driving and Smart Transportation Systems
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Advancements in Autonomous Driving and Smart Transportation Systems

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

Deadline for manuscript submissions: closed (15 August 2025) | Viewed by 309

Special Issue Editors

Dr. Yeray Mezquita

E-Mail Website
Guest Editor
Department of Computer Science and Technology, International University of La Rioja, 26006 Logroño, Spain
Interests: blockchain and Internet of Things technologies; edge computing; systems optimization; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Dr. Javier Parra Domínguez

E-Mail Website
Guest Editor
Department of Business Studies, School of Economics and Business, University of Salamanca, 37007 Salamanca, Spain
Interests: accounting; econometry; sustainability; finance; business intelligence
Special Issues, Collections and Topics in MDPI journals
Dr. Sara Rodriguez

E-Mail Website
Guest Editor
BISITE Research Group, University of Salamanca, 37008 Salamanca, Spain
Interests: artificial intelligence; distributed computing; machine learning; bioinformatics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The rapid evolution of autonomous driving technologies is transforming the landscape of modern transportation. Autonomous vehicles (AVs) promise to revolutionize mobility by enhancing road safety, reducing congestion, and optimizing traffic flow. However, the integration of AVs into existing transportation systems presents numerous challenges, including robust traffic management strategies, ensuring vehicular coordination, and addressing regulatory and technological gaps.

This Special Issue seeks to explore cutting-edge research, innovative methodologies, and practical solutions for advancing autonomous driving and its interplay with traffic management. We welcome contributions that address topics such as autonomous vehicle control systems, real-time traffic optimization, vehicular communication technologies, simulation and modeling for autonomous traffic scenarios, and the ethical and societal impacts of AV deployment.

Our aim is to bring together researchers and practitioners to share insights that will drive the development of intelligent transportation systems, fostering sustainable and efficient mobility solutions for the future.

Dr. Yeray Mezquita
Dr. Javier Parra Domínguez
Dr. Sara Rodriguez
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • autonomous driving
  • traffic management
  • vehicular communication
  • autonomous traffic scenarios

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Published Papers (1 paper)

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Research

21 pages, 1841 KB  
Article
Stochastic Game-Based Anti-Jamming Control Method for Heavy-Haul Train Group Operation
by Lin Rong, Shuomei Ma, Hongwei Wang, Taiyuan Gong, Yang Li, Xiaozhi Qi and Mingxi Ji
Electronics 2025, 14(22), 4360; https://doi.org/10.3390/electronics14224360 - 7 Nov 2025
Abstract
With the growing global demand for mineral resources, enhancing the transport capacity of heavy-haul railways (HHR) has emerged as a key area of research. As an emerging train formation technology, the virtual coupling train system (VCTS) has the potential to substantially increase the [...] Read more.
With the growing global demand for mineral resources, enhancing the transport capacity of heavy-haul railways (HHR) has emerged as a key area of research. As an emerging train formation technology, the virtual coupling train system (VCTS) has the potential to substantially increase the traffic density of heavy-haul trains (HHT) and thereby improve transport efficiency. However, the stable operation of virtually coupled fleets relies on train-to-train (T2T) communication, which is vulnerable to jamming attacks (JAs) within the complex operational environments of HHR. To address issues such as train decoupling and emergency braking in the VCTS that may be caused by JAs, this study proposes a stochastic game-based anti-jamming control (SGAC) strategy aimed at ensuring the stability and operational safety of the VCTS operating within HHR. The proposed approach models both JAs and defensive actions as a stochastic game and employs an H∞-based cross-layer control method to mitigate their adverse effects. The control performance is analyzed through frequency-domain mapping, and a quantitative evaluation is conducted using the H∞ norm. The simulation results demonstrate that the SGAC scheme significantly enhances the resilience of VCTS cooperative control under JAs, offering a robust solution for ensuring the stable operation of HHR. Full article
(This article belongs to the Special Issue Advancements in Autonomous Driving and Smart Transportation Systems)
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