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Applied Sciences
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Advances in Intelligent Road Design and Application
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Advances in Intelligent Road Design and Application

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 953

Special Issue Editor

Prof. Dr. Bin Yu

E-Mail Website
Guest Editor
School of Transportation, Southeast University, Nanjing 210096, China
Interests: geometric design and safety evaluation; infrastructure digitalization; life cycle assessment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The rise of intelligent transportation systems (ITSs) and autonomous vehicles is driving changes in road infrastructure design and development. Advanced technologies such as communication and artificial intelligence are applied within the transportation framework and vehicles, aiming to improve traffic efficiency, maintain road safety, diminish congestion, and curtail environmental impacts. As autonomous vehicles progress from theoretical constructs to tangible implementations, it is essential that the infrastructure that supports them adapts in tandem.

This Special Issue is dedicated to exploring the forefront of artificial intelligence and intelligent transportation systems as they pertain to the challenges and prospects within road infrastructure design, aiming to cultivate smarter, more secure, and efficient road networks. These road infrastructures are designed to facilitate the smooth operation of autonomous and connected vehicles in conjunction with conventional traffic flows.

We are calling for original research and thorough reviews focused on a variety of topics related to road design for autonomous vehicles, the application of sophisticated technologies in road design, the development of intelligent infrastructure, vehicle-to-infrastructure (V2I) communication systems, and the practical deployment of autonomous driving technologies. Topics of interest for this Special Issue include, but are not limited to, the following:

  • Adaptation of road infrastructure for autonomous vehicles;
  • Design and construction of road infrastructure for autonomous vehicles;
  • The development of vehicle-to-infrastructure systems;
  • Digitalization of road infrastructure and maintenance management;
  • Utilization of advanced technology in road design and traffic management;
  • Road design with a focus on enhancing road and traffic safety;
  • Development of eco-friendly road infrastructure designs.

Prof. Dr. Bin Yu
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. 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

  • autonomous driving technologies
  • intelligent transportation systems (ITSs)
  • road infrastructure design and innovation
  • infrastructure digitalization
  • maintenance and management of road infrastructure
  • effective traffic management strategies
  • road safety improvements
  • sustainable road design practices

Published Papers (1 paper)

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Research

21 pages, 6340 KiB  
Article
Automated Trucks’ Impact on Pavement Fatigue Damage
by Ali Yeganeh, Bram Vandoren and Ali Pirdavani
Appl. Sci. 2024, 14(13), 5552; https://doi.org/10.3390/app14135552 - 26 Jun 2024
Viewed by 752
Abstract
The automated truck’s steering system can potentially control its lateral movement (i.e., wander mode) within the lane. The controlled wander mode of automated trucks could affect the transverse loading distribution of the wheels and consequently influence pavement fatigue damage in the long term. [...] Read more.
The automated truck’s steering system can potentially control its lateral movement (i.e., wander mode) within the lane. The controlled wander mode of automated trucks could affect the transverse loading distribution of the wheels and consequently influence pavement fatigue damage in the long term. This study examines the effects of potential wander modes on pavement fatigue damage, considering the effects of lane width, market penetration rate, flexible pavement layers’ thickness, and stiffness of the materials. This study uses a finite element model to calculate the flexible pavement response. The mechanistic–empirical method is used to compute the total fatigue damage index for a specific design period, incorporating the wander mode effect. Comparing the fatigue damage indices indicates that automated trucks could either reduce the damage index value from −1.41% to −7.05% (i.e., mitigator scenario) or increase it from +11.6% to +278.57% (i.e., aggravator scenario), depending on their deployment scenarios. Moreover, the findings show that using a uniform-wander mode instead of a zero-wander mode or increasing the thickness and stiffness of the pavement layers could effectively reduce the adverse effect of automated trucks on fatigue damage and reduce the damage indices from −0.06% to −42.95%. However, their impact is considerably influenced by market penetration rate and lane width. Full article
(This article belongs to the Special Issue Advances in Intelligent Road Design and Application)
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