Special Issue "Big Data and Machine Learning for Vehicles and Transportation"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".

Deadline for manuscript submissions: 31 March 2023 | Viewed by 204

Special Issue Editors

Computer Science Department, University Politehnica of Bucharest, 060042 Bucharest, Romania
Interests: mobile computing; pervasive systems; monitoring tools; context awareness
Computer Science Department, University of Beira Interior, 6200-001 Covilhã, Portugal
Interests: next-generation networks; algorithms for bio-signal processing; distributed and cooperative protocols; predictive algorithms for health and well-being
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Cities are areas where Big Data is having a real impact. Town planners and administration bodies need the right tools at their fingertips to consume all the data that a town or city generates and then be able to turn that into actions that improve peoples’ lives. Smart Cities already rely not only on sensors within the city infrastructure, but also on many devices that willingly sense and integrate their data into technological platforms used for introspection into the habits and situations of individuals and city-sized communities.

Every day we create an incredible amount of data—over 90% of the data in the world today has been created in the last two years alone. Efficiently handling such quantities of data is already a challenge. New technologies have finally reached a stage of development in which they can significantly improve the lives of any city’s inhabitants. Our cities are rapidly transforming into artificial ecosystems of interconnected, interdependent, intelligent digital ‘‘organisms’’. They are transforming into smart cities, as they benefit from intelligent applications designed to drive sustainable economic development and represent an incubator of innovation and transformation. However, we have barely begun to get a sense of the dimensions of this kind of data, of the privacy implications, of ways in which we can code it with respect to meaningful attributes in space and time. As we move into an era of unprecedented volumes of data and computing power, the benefits are not for business alone. Data can help citizens access government, hold it accountable and build new services to help themselves. In one sense, all this is part of a world that is fast becoming digital in all its dimensions. People will more easily develop their understanding and design ideas using digital representations and data. This vision will support the development of new ideas for the future of urban and social life.

This Special Issue is dedicated to showcasing advances Big Data and Machine Learning for Vehicles and Transportation. We invite prospective authors to showcase their recent work on creating solutions to support data processing or interpretation, learning, and embedding deep knowledge algorithms for the Smart Cities of tomorrow. The vast body of literature on the topic will be complemented with recent work, and the topic accommodates many different aspects related to data support for cities. As an example, over the last few decades, traffic congestion alone has become one of the biggest problems that the world is struggling to solve. Road traffic is endlessly increasing everywhere on the globe, causing expanding traffic jams and air pollution. To limit the pollution produced by cars and to streamline roads, this Special Issue is the perfect venue for presenting recent work at the combination of smart city architectures and town infrastructure with intelligent management systems relying on Big Data processing. We welcome solutions that will minimize the average waiting time in traffic, decongest intersections, promote public transportation, and prevent accidents from happening when violating the red-light interdiction, to name just a few.

Prof. Dr. Ciprian Dobre
Prof. Dr. Nuno M. Garcia
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 2000 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.


  • smart city
  • vehicle networks
  • smart transportation
  • Big Data
  • deep learning
  • data processing

Published Papers

This special issue is now open for submission.
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