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Computing in Future Transportation Systems

This special issue belongs to the section “Transportation and Future Mobility“.

Special Issue Information

Dear Colleagues,

With the accelerated penetration of the new generation of information technologies such as 5G/6G, artificial intelligence, big data, and the Internet of Things in the field of transportation, the constantly moving vehicles have gradually become data centers and computing equipment on the wheels, which poses new challenges to the computing infrastructures, architecture, methods and computing capability in the future transportation system. Therefore, this special issue is aimed at introducing new ideas and experimental results of intelligent, sustainable and green computing architecture from design, service and theory to its practical application in the field of future transportation.

Potential topics related to computing in future transportation system include,but are not limited to, intelligent computing, data-intensive applications, large-scale computational science, artificial intelligence, machine learning and deep learning, new parallel and distributed computing, green computing, sustainable computing, and massive data processing from roadside infrastructure and vehicles. Computer architecture, digital twins and resource management technology, which are necessary to achieve high service performance of future transportation systems, are also topics of interest.

This Special Issue will publish high-quality, original research papers, in the overlapping fields of:

  • Intelligent computing;
  • Cloud/edge/fog computing;
  • Green computing;
  • Quantum computing;
  • AI, machine learning and deep learning;
  • Traffic big data processing, application, system and algorithm;
  • Intelligent vehicles;
  • Intelligent transport systems;
  • Traffic management and control;
  • Digital twins enabling transportation system;
  • Internet of Things;
  • Resource management and optimization;
  • Security, privacy and safety systems.

Prof. Dr. Hao Wu
Prof. Dr. Hongke Zhang
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 250 words) can be sent to the Editorial Office for assessment.

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.

Keywords

  • computing in future transportation
  • green computing, sustainable computing
  • intelligent vehicles
  • internet of vehicles
  • V2X communication
  • collaborative awareness and information fusion
  • big data of transportation
  • edge intelligent computing
  • architecture modeling and performance evaluation
  • AI, machine learning and deep learning

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Published Papers

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Appl. Sci. - ISSN 2076-3417