Special Issue “Applications of Artificial Intelligence for Connected & Automated Vehicle”

SI Web Pagehttps://www.mdpi.com/si/35928

Deadline: June 1, 2020

 

Applied Sciences journal (Appl. Sci. – ISSN 2076-3417 – IF 2.217) is currently running a special issue titled "Artificial Intelligence for Connected and Automated Vehicles".

 

Special Issue Information

 

Dear Colleagues,
Connected and automated vehicles (CAVs) will provide greater transport convenience and interconnectivity, increase mobility options for young and elderly people, and reduce traffic accidents, congestion and emissions by exploiting Artificial Intelligence and communication technologies. At the same time, major barriers towards the public deployment of CAVs and the realization of smart cities exist, including the safety evaluation and validation of Artificial Intelligence-based vehicle functions. This Special Issue aims to bring together recent advances in methods and tools in the areas of deep learning, knowledge discovery and forecasting, as well as testing and validation, to make connected and automated vehicles efficient and safe. Particularly, we invite contributions that identify and provide insight into the limitations of Artificial Intelligence-based functions for connected and automated vehicles and/or advance the state of the art by breaking existing limitations.

 

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 papers will be 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 1500 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

·        Deep Learning

·        Deep Neural Networks

·        Connected Vehicles

·        Automated Vehicles

·        Big Data

·        Smart Cities

 

Prof. Dr. Stratis Kanarachos

Prof. Dr. Aristotelis Naniopoulos

Dr. Dimitrios Nalmpantis

Dr. Vasile Palade

Guest Editors

________________

Dimitrios Nalmpantis

PhD (Transp.), MA (Hum.), MBA (Exec.), MEng (Civ.)

Laboratory Teaching Faculty AUTh

Transport Engineering Laboratory, Division of Transport and Project Management,

School of Civil Engineering, Faculty of Engineering, Aristotle University of Thessaloniki (AUTh)

p: PO Box 452, 541 24 Thessaloniki, Greece

t: +302310995811

f: +302310995789

s: Dimitrios.Nalmpantis

e: dnalba@civil.auth.gr

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