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Sustainable Regional Traffic Congestion and System Resiliency

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

Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 792

Special Issue Editors


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Guest Editor
Civil Engineering, The College of New Jersey, Ewing, NJ 08628, USA
Interests: transportation; infrastructure management; sustainable design; big data
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Civil and Infrastructure Engineering, George Mason University, Fairfax, VA 220130, USA
Interests: transportation engineering; transportation air quality; transportation planning
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Civil and Environmental Engineering, Wayne State University, Detroit, MI 48202, USA
Interests: intelligent transportation systems; traffic operations; connected infrastructure; safety and mobility performance measures
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

A Special Issue of the Sustainability journal titled “Sustainable Regional Traffic Congestion and System Resiliency” is being assembled to publish research papers around the topic of regional congestion and mobility as it relates to a broad range of sustainable transportation practices. There are a number of interdependent transportation networks across a region whose performance metrics can range from the evaluation of congestion reduction to regional congestion performance, land use practices, economics, policy, and other applications including multimodal transportation systems. The objective of the Special Issue is to publish papers that provide novel ideas about improved data visualization and performance metrics to support sustainable transportation practices on a regional level. To derive sustainability metrics, it is expected that data sets might include demographic, economic, land use, speed, level of service, environmental, and cultural datasets.

Please consider submitting your original articles for publication in this Special Issue. Papers selected for this Special Issue are subject to a rigorous peer review procedure with the aim of a rapid and wide dissemination of research results, developments, and applications. We would greatly appreciate your sharing this information with your colleagues who might be interested in publishing in this Special Issue.

Prof. Thomas M. Brennan Jr.
Prof. Mohan M. Venigalla
Prof. Stephen M. Remias
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. 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 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

  • big data
  • artificial intelligence
  • machine learning
  • transportation sustainability
  • performance measures

Published Papers

There is no accepted submissions to this special issue at this moment.
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