Special Issue "Enabling Technologies for Sustainable Living: The Case of Energy and Transportation Systems"

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: 15 October 2021.

Special Issue Editors

Prof. Dr. Khaled Shuaib
E-Mail Website
Guest Editor
Department of Information Systems and Security, College of IT, UAE University, Al Ain 15551, United Arab Emirates
Interests: IoT; blockchains; smart grid; network security
Prof. Dr. Sanja Lazarova-Molnar
E-Mail Website
Guest Editor
Mærsk Mc-Kinney Møller Institute, University of Southern Denmark, Odense, Denmark
Interests: modelling and simulation; decision support systems; data analytics; artificial intelligence; Industry 4.0; cyber-physical systems; reliability analysis
Special Issues and Collections in MDPI journals
Prof. Dr. Yacine Atif
E-Mail Website
Guest Editor
School of Informatics, University of Skövde, 54166 Skövde, Sweden
Interests: IoT; semantic web; social networks; ambient intelligence

Special Issue Information

Dear Colleagues,

Reducing each individual’s carbon footprint is considered a major factor in the development of sustainable living that requires a combination of enabling technologies, governing policies and proper incentives. There are two main sectors in which individuals can contribute to reducing their carbon footprint: energy and transportation. This Special Issue of Sustainability focuses on solutions and initiatives that address the utilization and combination of emerging technologies, such as blockchains, Internet of Things, 5G communication networks, artificial intelligence/machine learning techniques, data-driven modeling and simulation, and autonomous driving systems, to enable sustainable smart energy and transportation systems. Presently, we are seeking research contributions that incorporate emerging technologies and policies to support a reduced-carbon emission and sustainable lifestyle. Typical domains include, but are not limited to, smart and secure energy exchange networks utilizing renewable/local energy sources, peer-to-peer energy trading, intelligent energy saving prediction models, optimized energy usage, smart transportation systems, safe autonomous driving, optimized electric vehicle driving networks, initiatives that combine both energy consumption and transportation, as well as policies and regulatory incentives.       

This issue focuses on the involvement of individuals to help reduce the overall carbon footprint by enabling those individuals with emerging technologies and policies. The issue considers two major societal domains of application, energy and transportation, to promote sustainability living.

Prof. Dr. Khaled Shuaib
Prof. Dr. Sanja Lazarova-Molnar
Prof. Dr. Yacine Atif
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 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. Sustainability 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 1900 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

  • blockchains
  • internet of things
  • smart grid systems
  • intelligent transportation systems
  • smart buildings
  • sustainable energy systems
  • electric vehicles
  • autonomous driving systems
  • 5G networks

Published Papers (1 paper)

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Research

Article
A Continuous Transportation Network Design Problem with the Consideration of Road Congestion Charging
Sustainability 2021, 13(13), 7008; https://doi.org/10.3390/su13137008 - 22 Jun 2021
Viewed by 332
Abstract
This paper proposes a biobjective continuous transportation network design problem concerning road congestion charging with the consideration of speed limit. The efficiency of the traffic network and the reduction of pollution in the network environment are improved by designing a reasonable road capacity [...] Read more.
This paper proposes a biobjective continuous transportation network design problem concerning road congestion charging with the consideration of speed limit. The efficiency of the traffic network and the reduction of pollution in the network environment are improved by designing a reasonable road capacity enhancement and speed limit strategy. A biobjective bilevel programming model is developed to formulate the proposed network design problem. The first target of the upper problem is the optimization of road charging efficiency, and the other target is the total cost of vehicle emissions; these objectives are required to devise the optimal road capacity enhancement scheme, speed limiting schemes for different time periods, and the road pricing scheme. The lower-level problem involving travellers’ route choice behaviours uses stochastic user equilibrium (SUE) theory. Based on the nondominated sorting genetic algorithm, which is applied to solve the bilevel programming model, a numerical example is developed to illustrate the effectiveness of the proposed model and algorithm. The results show that the implementation of congestion charging measures on the congested road sections would help to alleviate road congestion in the transportation network, effectively save transportation infrastructure investment and limited urban land resources, increase fiscal revenue, and open up new sources of funds for urban infrastructure construction. Full article
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