Vehicle Technology and Its Applications
Deadline for manuscript submissions: 29 August 2024 | Viewed by 2079
Interests: transport planning with AI techniques like neural networks, fuzzy logic, and evidence theory in intelligent transport systems; operational research to optimize transport models; logistics
Interests: intelligent transportation systems; artificial intelligence techniques for transportation planning; optimization and operations research models for transportation and logistics
Special Issues, Collections and Topics in MDPI journals
The focus of this Special Issue is to highlight recent developments in vehicle technology and its applications. Rapid advancements in technology have brought about significant transformative changes in the automotive industry. Vehicle technology encompasses various aspects such as electrification, autonomous driving, connectivity, and advanced driver assistance systems (ADASs). These innovations have significant implications for safety, sustainability, and user experience.
The integration of artificial intelligence (AI) and machine learning has fueled breakthroughs in autonomous driving. AI-powered algorithms enable vehicles to perceive their surroundings, make real-time decisions, and navigate complex scenarios. Furthermore, vehicle connectivity facilitates communication between vehicles, infrastructure, and the surrounding environment, enabling features like vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication.
Electric vehicle technology has also gained momentum, addressing concerns about environmental impact and fossil fuel dependence. Battery advancements, charging infrastructure expansion, and energy management systems have enhanced electric vehicles' (EVs) feasibility and desirability.
As the automotive landscape evolves, this Special Issue welcomes the submission of original research and comprehensive reviews focusing on the latest advancements in vehicle technology and its diverse applications.
We invite submissions that explore topics including, but not limited to:
- Autonomous vehicle algorithms and perception systems;
- Human–machine interfaces and user experience in vehicles;
- Energy-efficient propulsion systems and powertrain technologies;
- Connectivity solutions and in-car infotainment systems;
- Safety enhancements through ADAS and predictive analytics;
- Environmental impact and sustainability of vehicle technologies;
- Electric vehicle charging infrastructure and smart grid integration.
Join us in shedding light on the innovative strides being made in the field of vehicle technology and its broad-reaching impact.
Dr. Mauro Dell’Orco
Dr. Mario Marinelli
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. Applied Sciences 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.
- vehicle technology
- autonomous driving
- advanced driver assistance systems (ADASs)
- electric vehicles (EVs)
- artificial intelligence (AI)
- machine learning
- vehicle-to-vehicle (V2V) communication
- vehicle-to-infrastructure (V2I) communication