Intelligent Mobility and Sustainable Automotive Technologies

A special issue of Vehicles (ISSN 2624-8921).

Deadline for manuscript submissions: 27 January 2026 | Viewed by 590

Special Issue Editors


E-Mail Website
Guest Editor
Department of Automotive Engineering and Transports, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania
Interests: internal combustion engines; renewable and green energy; thermoelectric generators; mobility

E-Mail Website
Guest Editor
Department of Automotive Engineering and Transports, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania
Interests: Li-ion batteries; electric vehicles; means of transportation; renewable and green energy; automotive; transport; pollutants
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Automotive Engineering and Transports, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania
Interests: virtual model for electric vehicles; autonomous vehicles; fuel cell vehicles; powertrain concept; electronic control unit; in-vehicle communication network; energy efficiency; computer modeling and simulation in the automotive field
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue of Vehicles is dedicated to disseminating the high-quality research presented at the AMMA 2025 Congress, as well as contributions from the broader automotive engineering community. Encompassing all congress topics, it reflects the multidisciplinary character of modern automotive research and development.

The Automotive Mobility, Management and Automation (AMMA 2025) Congress—organized by the Romanian Society of Automotive Engineers (SIAR) and hosted by the Technical University of Cluj-Napoca, Romania on October 23–25, 2025—brings together leading experts, researchers, and practitioners from academia, industry, and government. AMMA 2025 continues the tradition of showcasing cutting-edge research, technological advancements, and forward-thinking strategies in the automotive sector.

The congress covers a broad spectrum of topics, including but not limited to the following:

  1. Advanced engineering, software, and simulation
  2. Cyber–physical systems in automotive
  3. Green vehicle solutions
  4. Hybrid and electric vehicles
  5. Manufacturing technologies and materials
  6. Powertrain and propulsion
  7. Road safety, traffic management, and transportation engineering

AMMA 2025 provides an excellent platform for participants to present scientific and technical papers, exchange ideas, and forge new collaborations. Beyond the technical sessions, keynote presentations, and workshops, the event will feature an industry exhibition showcasing novel products, solutions, and services. Attendees, including students, will have opportunities to network with potential partners and engage with industry leaders, fostering a deeper understanding of the future trends shaping automotive mobility and automation.

This Special Issue welcomes original research papers and review articles that address advancements and emerging challenges in the following areas:

  • Autonomous and Connected Vehicles: AI-driven automation, V2X communication, and cyber-physical vehicle systems.
  • Hybrid and Electric Vehicles: Design, control systems, battery management, infrastructure, and energy optimization for hybrid and full-electric vehicles.
  • Manufacturing Technologies and Materials: New production methods, additive manufacturing, lightweight materials, and sustainable fabrication processes.
  • Powertrain and Propulsion: Engine technologies, alternative fuels, and propulsion systems that enhance efficiency and performance.

Expanded and high-quality conference papers can be considered if the paper has been expanded to the size of a research article and has not undergone peer review.

The objective of this Special Issue is to provide a comprehensive view of the scientific and technological developments shaping future vehicles and mobility solutions. Submissions that bridge the gap between theoretical foundations and industrial applications are particularly encouraged. By bringing together diverse perspectives and expertise, this Special Issue aims to foster collaboration and drive forward the vision of a safer, cleaner, and more efficient automotive world. We look forward to receiving your contributions and thank you for helping shape the future of automotive mobility and automation.

Dr. Nicolae Vlad Burnete
Prof. Dr. Florin Mariasiu
Dr. Calin Iclodean
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. Vehicles is an international peer-reviewed open access quarterly 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 1600 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

  • automotive engineering
  • advanced simulation and modeling
  • cyber–physical systems
  • hybrid and electric vehicles
  • powertrain and propulsion
  • manufacturing technologies
  • advanced materials
  • green vehicle solutions
  • road safety and traffic management
  • transportation engineering

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

13 pages, 2716 KiB  
Article
Analysis of the Influence of Image Resolution in Traffic Lane Detection Using the CARLA Simulation Environment
by Aron Csato, Florin Mariasiu and Gergely Csiki
Vehicles 2025, 7(2), 60; https://doi.org/10.3390/vehicles7020060 - 16 Jun 2025
Viewed by 267
Abstract
Computer vision is one of the key technologies of advanced driver assistance systems (ADAS), but the incorporation of a vision-based driver assistance system (still) poses a great challenge due to the special characteristics of the algorithms, the neural network architecture, the constraints, and [...] Read more.
Computer vision is one of the key technologies of advanced driver assistance systems (ADAS), but the incorporation of a vision-based driver assistance system (still) poses a great challenge due to the special characteristics of the algorithms, the neural network architecture, the constraints, and the strict hardware/software requirements that need to be met. The aim of this study is to show the influence of image resolution in traffic lane detection using a virtual dataset from virtual simulation environment (CARLA) combined with a real dataset (TuSimple), considering four performance parameters: Mean Intersection over Union (mIoU), F1 precision score, Inference time, and processed frames per second (FPS). By using a convolutional neural network (U-Net) specifically designed for image segmentation tasks, the impact of different input image resolutions (512 × 256, 640 × 320, and 1024 × 512) on the efficiency of traffic line detection and on computational efficiency was analyzed and presented. Results indicate that a resolution of 512 × 256 yields the best trade-off, offering high mIoU and F1 scores while maintaining real-time processing speeds on a standard CPU. A key contribution of this work is the demonstration that combining synthetic and real datasets enhances model performance, especially when real data is limited. The novelty of this study lies in its dual analysis of simulation-based data and image resolution as key factors in training effective lane detection systems. These findings support the use of synthetic environments in training neural networks for autonomous driving applications. Full article
(This article belongs to the Special Issue Intelligent Mobility and Sustainable Automotive Technologies)
Show Figures

Figure 1

Back to TopTop