Special Issue "Civil Infrastructure Management: New Challenges from Technology"

A special issue of Infrastructures (ISSN 2412-3811).

Deadline for manuscript submissions: closed (31 January 2020) | Viewed by 3926

Special Issue Editor

Prof. John Sobanjo
E-Mail Website
Guest Editor
College of Engineering, Florida A&M University-Florida State University, 2525 Pottsdamer St., Tallahassee, FL 32310-6046, USA
Interests: infrastructure engineering and management; materials, construction methods, and sustainability; resilience; transportation engineering; advanced technologies, including GPS/GNSS and GIS
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue “Civil Infrastructure Management: New Challenges from Technology” calls for papers on scientific, technical, and policy advancements related to civil infrastructure.

Technology is rapidly advancing, indicating the need for new approaches to the management of civil infrastructure systems, e.g., roadways, traffic signs, bridges, and pipelines. Infrastructure management, by traditional definition, includes the following major activities: inventory, inspection, or monitoring; mathematical modeling of deterioration or performance; decisions on maintenance, repair, or replacement; and managing risk under exposure to natural and artificial hazards. Some new technologies such as the applications of GPS/GNSS and GIS are valuable in spatial models for inventory, inspection, and monitoring of infrastructure. Big data concepts and machine (deep) learning techniques are becoming useful tools for various industries, especially to enhance data analysis and decision making. The fast path to the adaptation of connected and automated vehicles (CAV) technology also necessitates the development of new approaches to manage civil infrastructure.

This Special Issue aims to cover recent approaches, both theoretical and practical, where models for the management of civil infrastructures, as defined above, have incorporated methodologies to address the challenges posed by the new advanced technologies. Authors are invited to submit papers on topics including but not limited to advanced inspection/monitoring, application of big data concepts, application of machine (deep) learning techniques, connected and automated vehicles (CAV), and advanced risk models. Submitted papers should ideally have a scope incorporating scientific advancement, technology innovation, as well as practice-ready concepts.

Dr. John Sobanjo
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.

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. Infrastructures is an international peer-reviewed open access monthly 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 1600 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

  • civil infrastructure
  • inspection
  • health monitoring
  • spatial models
  • big data
  • machine (deep) learning
  • connected/automated vehicles
  • risk

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Article
Civil Infrastructure Management Models for the Connected and Automated Vehicles Technology
Infrastructures 2019, 4(3), 49; https://doi.org/10.3390/infrastructures4030049 - 07 Aug 2019
Cited by 2 | Viewed by 3727
Abstract
The new concept of Connected and Automated Vehicles (CAVs) necessitates a need to review the approach of managing the existing civil infrastructure system (highways, bridges, sign structures, etc.). This paper provides a basic introduction to the CAV concept, assesses the infrastructure requirements for [...] Read more.
The new concept of Connected and Automated Vehicles (CAVs) necessitates a need to review the approach of managing the existing civil infrastructure system (highways, bridges, sign structures, etc.). This paper provides a basic introduction to the CAV concept, assesses the infrastructure requirements for CAVs, and identifies the appropriateness of the existing infrastructure, and needs, in terms of the condition assessment and deterioration modeling. With focus on the Vehicle-to-Infrastructure (V2I) requirements for CAVs, the main elements required on the infrastructure are the Roadside Units (RSUs), which are primarily for communication; they are similar to non-structural transportation assets, such as traffic signals, signs, etc. The ongoing pertinent efforts of agencies and the private industry are reviewed, including the V2I Deployment Coalition (American Association of State Transportation Officials (AASHTO), the Institute of Transportation Engineers (ITE), and the Intelligent Transportation Society of America (ITS America)). Current methods of transportation asset management, particularly, of non-structural elements, are also reviewed. Two reliability-based models were developed and demonstrated for the deterioration of RSUs, including the age replacement model, and a combined survivor function considering the vulnerability of the CAV elements to natural hazards, such as the hurricanes. The paper also discusses the implications of the CAV technology on traffic models, particularly, how it affects user costs’ computations. Full article
(This article belongs to the Special Issue Civil Infrastructure Management: New Challenges from Technology)
Show Figures

Graphical abstract

Back to TopTop