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Artificial Intelligence and Digital Twins Applications towards Vehicles Monitoring, Management,...
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Artificial Intelligence and Digital Twins Applications towards Vehicles Monitoring, Management, Control, and Safety Technology

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 2507

Special Issue Editors

Dr. Mahmoud Elsisi

E-Mail Website
Guest Editor
1. Industry 4.0 Implementation Center, Center for Cyber-Physical System Innovation, National Taiwan University of Science and Technology, Taipei 10607, Taiwan
2. Department of Electrical Engineering, Faculty of Engineering (Shoubra), Benha University, 108 Shoubra St., B.O. Box 11241, Cairo, Egypt
Interests: artificial intelligence techniques; machine learning; deep learning; internet of things (IoT); cybersecurity, industry 4.0; model predictive control; decentralized control of large-scale systems; neural networks and fuzzy logic; robotic control; autonomous vehicle control; renewable energy; power system dynamics: stability and control; nuclear power plant control; wind energy conversion systems (WECs); AGV
Special Issues, Collections and Topics in MDPI journals
Dr. Minh-Quang Tran

E-Mail Website
Guest Editor
1. Industry 4.0 Implementation Center, Center for Cyber-physical System Innovation, National Taiwan University of Science and Technology, Taipei 10607, Taiwan
2. Department of Mechanical Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam
Interests: tool condition monitoring; machining dynamics; AGV; industrial IoT; big data analytics; machine learning; intelligent systems for industry 4.0
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Vehicle monitoring, management, control, and intelligent safety technologies have recently been paid increased attention by researchers around the world. The safety systems of intelligent vehicles are developed based on advanced electronics technology such as radar, vision processing, and human–machine interfaces. In addition, the rapid development of artificial intelligence (AI), digital twins, and internet of things (IoT) technologies and their applications in daily life have a huge impact on the concepts, designs, and manufacturing of vehicles.

The scope of this Special Issue, "Vehicle Engineering and Intelligent Safety Research", is to encourage engineers, scholars, and researchers to present research achievements in state-of-the-art technologies with respect to intelligent vehicle management, control, and safety technologies.

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

  • Digital twins for vehicle engineering;
  • Communications and internet of things (IoT) technologies for EVs;
  • Path planning or artificial intelligence of vehicles;
  • Hybrid and electric vehicles;
  • Advanced manufacturing technology for smart vehicles;
  • Path tracking and dynamics control;
  • Intelligent transportation systems;
  • Risk management for smart vehicles;
  • Energy monitoring and control of EVs.

Dr. Mahmoud Elsisi
Dr. Minh-Quang Tran
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

  • digital twins for vehicle engineering
  • communications and internet of things (IoT) technologies for EVs
  • path planning or artificial intelligence of vehicles
  • hybrid and electric vehicles
  • advanced manufacturing technology for smart vehicles
  • path tracking and dynamics control
  • intelligent transportation systems
  • risk management for smart vehicles
  • energy monitoring and control of EVs

Published Papers (1 paper)

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Research

25 pages, 3597 KiB  
Article
On the Architecture and Key Technology for Digital Twin Oriented to Equipment Battle Damage Test Assessment
by Mingchang Song, Quan Shi, Qiwei Hu, Zhifeng You and Lei Chen
Electronics 2023, 12(1), 128; https://doi.org/10.3390/electronics12010128 - 28 Dec 2022
Cited by 5 | Viewed by 1934
Abstract
To overcome the technical bottleneck faced by the traditional equipment battle damage assessment method by analyzing the application status of digital twins in battle damage assessment, the application needs and the existing problems of current digital twin technology in damage assessment were summarized. [...] Read more.
To overcome the technical bottleneck faced by the traditional equipment battle damage assessment method by analyzing the application status of digital twins in battle damage assessment, the application needs and the existing problems of current digital twin technology in damage assessment were summarized. Relying on battle damage tests, based on combing the current status of equipment battle damage test evaluation and digital twin technology research, the connotation and application features of digital twinning technology-oriented to equipment battle damage test assessment were explored. The architecture and implementation plan of the digital twin oriented to equipment battle damage test assessment were structured. The key technology and realization of digital twin oriented to battle damage test assessment were proposed. This study provided a theoretical reference and method guidance for the application of digital twins in battle damage assessment, which is of great reference significance for the development of digital twin battlefield construction and battle damage assessment. Full article
(This article belongs to the Special Issue Artificial Intelligence and Digital Twins Applications towards Vehicles Monitoring, Management, Control, and Safety Technology)
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