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WEVJ
Special Issues
Electric Vehicle Networking and Traffic Control
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Electric Vehicle Networking and Traffic Control

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

Deadline for manuscript submissions: 31 July 2025 | Viewed by 8026

Special Issue Editors

Dr. Abdullah Baz

E-Mail Website
Guest Editor
Department of Computer Engineering, College of Computer and Information Systems, Umm Al-Qura University, Makkah 21955, Saudi Arabia
Interests: data science; ML; AI; VLSI design; EDA/CAD tools; intelligent transportation; computer systems and architecture; smart systems; smart health; autonomous aerial vehicles; decision making systems; cloud computing; resource allocation; Internet of Things
Dr. Mahmoud Badr

E-Mail Website
Guest Editor
Assistant Professor, Department of Network and Computer Security, College of Engineering, SUNY Polytechnic Institute, Utica, NY 13502, USA
Interests: privacy; encryption; deep learning; machine learning

Special Issue Information

Dear Colleagues,

As the world transitions towards sustainable transportation, the rapid adoption of EVs brings forth various interconnected issues that require attention. Electric vehicle networking refers to the use of on-board electronic sensing devices, through mobile communication technology, car navigation systems, intelligent terminal equipment, and information network platforms, to make the connection between cars and roads, cars and cars, cars and people, cars and cities, and real-time networking to realise information interconnection, so as to effectively and intelligently monitor, dispatch, and manage vehicles, people, objects, roads, and locations. A large amount of vehicle information is shared, but cybersecurity threats are also present. In order for the Internet of Vehicles to play its role in the economy and society, the application of network security technology should be strengthened. This Special Issue seeks to bring together cutting-edge research, original studies, and practical applications in the field of EV networking and traffic control, fostering interdisciplinary collaboration among researchers, engineers, policymakers, and practitioners.

Topics of interest for this Special Issue include, but are not limited to, the following:

  • Communication and networking protocols for EV charging infrastructure;
  • Intelligent transportation systems for EVs;
  • EV charging station management and optimisation;
  • Traffic control strategies for EV-dominated environments;
  • Energy management and optimisation for EVs in smart grids;
  • V2X (Vehicle-to-Everything) communication and its impact on traffic control;
  • Cooperative and autonomous driving for EVs;
  • Integration of renewable energy sources in EV charging networks;
  • EV fleet management and routing algorithms;
  • Data analytics and machine learning for EV traffic prediction and control.

Authors are invited to submit original research articles, case studies, reviews, or short communications that address the aforementioned topics or related areas. All submissions will undergo a rigorous peer-review process to ensure high-quality contributions.

Dr. Abdullah Baz
Dr. Mahmoud Badr
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. World Electric Vehicle Journal is an international peer-reviewed open access monthly 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 1400 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.

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

Published Papers (4 papers)

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Research

25 pages, 7980 KiB  
Article
Defining Signatures for Intelligent Vehicles with Different Types of Powertrains
by Arkadiusz Małek, Andrzej Marciniak and Dariusz Kroczyński
World Electr. Veh. J. 2025, 16(3), 135; https://doi.org/10.3390/wevj16030135 - 1 Mar 2025
Viewed by 478
Abstract
This article presents a straightforward and effective way of adding the Internet of Vehicles function to vehicles with different drive systems. By equipping the vehicle with a transmission device that communicates with the vehicle’s on-board diagnostics system, the current parameters of the vehicle’s [...] Read more.
This article presents a straightforward and effective way of adding the Internet of Vehicles function to vehicles with different drive systems. By equipping the vehicle with a transmission device that communicates with the vehicle’s on-board diagnostics system, the current parameters of the vehicle’s operation can be read. This allows for wireless transmission to the application installed on the mobile device. The current parameters related to the vehicle’s operation together with the location data from the Global Positioning System on the mobile device are transferred to the cloud server. In this way, each vehicle with a drive system acquires the Internet of Vehicles function. Using this setup, short trips in urban conditions were carried out in a vehicle with an internal combustion engine and a plug-in hybrid vehicle. The data from the cloud system were then processed using the KNIME analytical platform. Signatures characterizing the vehicles with two types of drive systems were created. The obtained results were analyzed using various analytical tools and experimentally validated. The presented method is universally applicable and allows for the quick recognition of different drive systems based on signatures implementing k-means analysis. Acquiring and processing data from vehicles with various drive systems can be used to obtain important information about the vehicle itself, the road infrastructure, and the vehicle’s immediate surroundings, which can translate into increased road safety. Full article
(This article belongs to the Special Issue Electric Vehicle Networking and Traffic Control)
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22 pages, 5467 KiB  
Article
Improvement of Operational Reliability of Units and Elements of Dump Trucks Taking into Account the Least Reliable Elements of the System
by Aleksey F. Pryalukhin, Nikita V. Martyushev, Boris V. Malozyomov, Roman V. Klyuev, Olga A. Filina, Vladimir Yu. Konyukhov and Artur A. Makarov
World Electr. Veh. J. 2024, 15(8), 365; https://doi.org/10.3390/wevj15080365 - 13 Aug 2024
Cited by 8 | Viewed by 1629
Abstract
The present work is devoted to the analysis of the most important reliability indicators of components of electrical devices of mining dump trucks, and analytical methods of their evaluation are proposed. A mathematical model for calculating the reliability of electrical devices integrated into [...] Read more.
The present work is devoted to the analysis of the most important reliability indicators of components of electrical devices of mining dump trucks, and analytical methods of their evaluation are proposed. A mathematical model for calculating the reliability of electrical devices integrated into the electrical systems of quarry dump trucks is presented. The model takes into account various loads arising in the process of operation and their influence on reliability reduction. Optimisation of maintenance and repair schedules of electrical equipment has revealed problems for research. One of them is the classification of electrical equipment by similar residual life, which allows the formation of effective repair and maintenance cycles. The analysis of statistical data on damages revealed the regularities of their occurrence, which is an important factor in assessing the reliability of electrical equipment in mining production. For quantitative assessment of reliability, it is proposed to use the parameter of the average expected operating time per failure. This parameter characterises the relative reliability of electrical equipment and is a determining factor of its reliability. The developed mathematical model of equipment failures with differentiation of maintained equipment by repeated service life allows flexible schedules of maintenance and repair to be created. The realisation of such cycles makes it possible to move from planned repairs to the system of repair according to the actual resource of the equipment. Full article
(This article belongs to the Special Issue Electric Vehicle Networking and Traffic Control)
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14 pages, 2580 KiB  
Article
Improved Equivalent Strain Method for Fatigue Life of Automobile Aluminum Alloy
by Shanjie Zhi, Hejian Liu and Xintian Liu
World Electr. Veh. J. 2024, 15(5), 200; https://doi.org/10.3390/wevj15050200 - 6 May 2024
Viewed by 2082
Abstract
Automotive parts are usually subjected to random loads with large mean tensile/compressive stresses under working conditions. It is important for automotive parts to have a long fatigue life under mean stress in practical engineering applications. An equivalent strain model is established here to [...] Read more.
Automotive parts are usually subjected to random loads with large mean tensile/compressive stresses under working conditions. It is important for automotive parts to have a long fatigue life under mean stress in practical engineering applications. An equivalent strain model is established here to predict fatigue life considering the influence of mean strain and stress under asymmetric cycles. To predict the fatigue life more accurately, the coefficient of surface roughness and temperature correction is introduced in this model. The effectiveness of the improved equivalent strain (IES) model is verified by comparing it with multiple sets of experimental data. The IES is also compared with Smith–Watson–Topper (SWT), Manson–Coffin, and equivalent strain models. The results show that the developed model has a higher prediction accuracy than the other models. An improved fatigue strength exponent is introduced to modify the equivalent strain model, and the effectiveness of the model is verified by experimental data. The IES model demonstrates significantly reduced standard deviations under various strain ratios (−0.06, 0.06, 0.5), with measurements of 0.0936, 0.0721, and 0.0636, respectively. The method provides a certain reference for the life prediction of automotive parts. Full article
(This article belongs to the Special Issue Electric Vehicle Networking and Traffic Control)
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26 pages, 4103 KiB  
Article
Determination of the Reliability of Urban Electric Transport Running Autonomously through Diagnostic Parameters
by Nikita V. Martyushev, Boris V. Malozyomov, Vladislav V. Kukartsev, Valeriy E. Gozbenko, Vladimir Yu. Konyukhov, Anton S. Mikhalev, Viktor Alekseevich Kukartsev and Yadviga A. Tynchenko
World Electr. Veh. J. 2023, 14(12), 334; https://doi.org/10.3390/wevj14120334 - 1 Dec 2023
Cited by 28 | Viewed by 2422
Abstract
The urban transport network involves complex processes, operating 24 h a day and 365 days a year. The sustainable development of the urban transport network using electric buses and trolleybuses that run autonomously is an urgent task since the transport network performs integral [...] Read more.
The urban transport network involves complex processes, operating 24 h a day and 365 days a year. The sustainable development of the urban transport network using electric buses and trolleybuses that run autonomously is an urgent task since the transport network performs integral social functions and is the transport artery of any urban center. The social and economic life of a city as a whole depends on the reliability of the transportation network. A theory is proposed for the technical and economic evaluation of reliability improvement in electric buses and trolleybuses running autonomously, which enables the determination of the reliability parameters of electric buses and forecasts for the future from the point of view of optimal economic costs for the operation of electric equipment in electric buses. As a result of the application of the proposed theory, it was found that increasing the reliability of the transportation fleet can lead to a decrease in both specific operating costs and capital investments in the development of the fleet. This is achieved as a result of increasing the annual productivity of vehicles by reducing the time they are out of service to eliminate the consequences of failures and carry out maintenance and repair. The conducted experiments confirmed that the theory and methodology of optimal reliability level selection not only enable the rational use of the material resources of the urban transport network but also the release of funds for its scientific and technical development by reducing the number of failures in the electrical equipment of transport systems by 14%. Full article
(This article belongs to the Special Issue Electric Vehicle Networking and Traffic Control)
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