Dear Colleagues,

In an era where technological advancements are reshaping the automotive industry, machine learning and artificial intelligence have emerged as pivotal catalysts for transformation. Integrating these cutting-edge technologies into vehicles can revolutionize how we perceive, interact with, and utilize our automobiles.

Advancements in machine learning and AI have enabled vehicles to become more than just modes of transportation. They are evolving into intelligent systems capable of autonomous navigation, predictive maintenance, adaptive driving, and personalized services. The potential impact of these technologies spans a wide array of domains, including driver assistance systems, autonomous driving, vehicle-to-everything (V2X) communication, energy optimization, vehicle diagnostics, and connected car ecosystems.

This Special Issue aims to provide a comprehensive platform for researchers, practitioners, and enthusiasts to delve into the diverse realms of machine learning and artificial intelligence within the context of vehicles. The focus is exploring the latest breakthroughs, methodologies, and applications that leverage machine learning algorithms, AI models, and data-driven insights to enhance vehicle performance, safety, efficiency, and user experience.

Topics of interest include, but are not limited to, the following:

• Autonomous vehicle technologies.
• Advanced driver assistance systems (ADASs).
• Predictive maintenance and vehicle health monitoring.
• Intelligent traffic management and control.
• Human–machine interfaces for enhanced user experience.
• Energy-efficient vehicle systems and optimization.
• Vehicle-to-everything (V2X) communication.
• Sensor technologies for vehicle perception and control.
• Data analytics and machine learning for vehicle diagnostics.
• Cybersecurity and privacy in connected vehicles.

Prof. Dr. Woong Cho
Dr. Gyanendra Prasad Joshi
Dr. Eunmok Yang
Dr. Srijana Acharya
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.

• machine learning
• artificial intelligence
• deep learning
• automotive industry
• intelligent transportation systems
• autonomous vehicles
• predictive maintenance
• driver assistance systems
• traffic management
• vehicle dynamics
• intelligent control
• vehicular communication
• edge computing
• safety and security
• energy efficiency
• fleet management
• simulation and modeling
• perception and localization vehicles