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Blockchain-Enabled Privacy Preserving for Intelligent Transportation Systems

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".

Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 1579

Special Issue Editor

School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
Interests: Internet of Things; blockchains; mobile computing; telecommunication security

Special Issue Information

Dear Colleagues,

With further developments in Internet of Things (IoT) technology, intelligent transportation systems (ITS), which integrate connected transportation systems and vehicles, have greatly advanced in effective traffic management. However, risks and challenges regarding safety and privacy have emerged, necessitating the development of disruptive technologies for future ITSs to meet the growing security requirements.

As a decentralized and trustworthy solution, blockchain technology has been widely used in various academic and industrial areas, such as the Internet of Things, transportation, finance, cybersecurity, etc. With potential capabilities, the blockchains enable a transparent and traceable way of storing and sharing information, thus enabling secure communication between vehicles. Blockchain-based privacy-preserving solutions and strategies can thus ensure effective ITS implementations.

This Special Issue will focus on advanced research regarding the potential applications of blockchains in intelligent transportation systems. We welcome original research on current trends and challenges in blockchain-enabled privacy preserving for intelligent transportation systems. Topics of interest include, but are not limited to, the following:

  • Blockchain-based security, privacy, and trust;
  • Blockchain architectures, protocols, and algorithms;
  • Vehicle communications;
  • Privacy preservation;
  • Internet of vehicles;
  • Intelligent transport system;
  • Autonomous vehicles;
  • Vehicular networks.

Dr. Qichao Xu
Guest Editor

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.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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.

Published Papers (1 paper)

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Research

16 pages, 4538 KiB  
Article
Applied Study of the Fluidization Model of Logistics Transportation through the Prism of the Impact Generated on the Environment
by Eduard Zadobrischi and Mihai Negru
Sensors 2022, 22(23), 9255; https://doi.org/10.3390/s22239255 - 28 Nov 2022
Cited by 2 | Viewed by 1179
Abstract
A real problem of today’s society is the loss of human lives due to road accidents and the pollution caused by freight transport through metropolitan areas. The restrictions imposed in the near future for freight transport could reduce its efficiency and create many [...] Read more.
A real problem of today’s society is the loss of human lives due to road accidents and the pollution caused by freight transport through metropolitan areas. The restrictions imposed in the near future for freight transport could reduce its efficiency and create many more problems. Using data centralization and developing applications or algorithms dedicated to the freight transportation sectors, routes and emissions can be managed much more efficiently. In this work, general aspects are presented, as well as a route optimization model for freight transport, taking into account the environmental impact, based on a heuristic algorithm, that of the ant colony (ACO). A multitude of studies has focused on what represents the benefits created by the applicability of solutions rather than on generalities and perspectives. The paper aims to highlight the usefulness of an optimization model of freight transport routes and the minimization of time and social costs. The study will show us that an optimized route for freight transport has a huge impact on costs, but also on time efficiency and polluting emissions. Full article
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