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Road Infrastructure Systems and Future Mobility Technologies

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

Deadline for manuscript submissions: closed (20 May 2023) | Viewed by 4113

Special Issue Editors


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Guest Editor
School of Mechanical and Industrial Engineering Technology, University of Johannesburg, Johannesburg 2028, South Africa
Interests: intelligent transportation systems; traffic flow; big data; artificial neural network; machine learning; pedestrian safety

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Guest Editor
Department of Transport Systems, Traffic Engineering and Logistics, Faculty of Transport and Aviation Engineering, Silesian University of Technology, Krasińskiego 8 Street, 40-019 Katowice, Poland
Interests: road traffic engineering; road and intersections capacity analysis; measurements; traffic modeling; research and traffic flow analysis; transport infrastructure; functional analysis; transport systems and processes modeling; transportation engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, and in most developed and developing countries, a significant problem has been discovered: the lack of preparation of many roads and rail transportation networks to contend with future mobility technologies. This problem puts both Government and public transportation users at significant risk. There are also pre-existing problems of traffic congestion, road accidents and lack of road infrastructure that are still hampering most developing countries' developmental progress in public road transportation.

It is important to note that most developed countries are still years behind in providing infrastructure technology for future mobility technologies, especially in autonomous vehicles, autonomous technologies and electric vehicles. In recent years, European countries have been estimated to be spending more than 70% of their yearly transportation budget on managing and building new transportation networks. These transportation management strategies are usually costly and sometimes complicated.

This Special Issue addresses cogent research questions revolving around future mobility technologies, traffic congestion, autonomous vehicles, and the transportation infrastructure of developed and developing countries.

This Special Issue welcomes original and high-quality research papers, literature reviews, and review papers which may consider, but are not limited to:

  • Road transportation infrastructures
  • Autonomous vehicles
  • Machine learning and deep learning in road transportation
  • Artificial intelligence
  • Big data
  • Traffic congestions
  • Traffic flow
  • Autonomous technologies
  • Modelling and analysis of traffic flow
  • Traffic safety
  • Vulnerable road users

Dr. Isaac Oyeyemi Olayode
Dr. Tiziana Campisi
Prof. Dr. Elżbieta Macioszek
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. 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

  • traffic flow
  • autonomous vehicles
  • machine learning
  • road infrastructure
  • mobilities technologies
  • smart cities
  • road infrastructures

Published Papers (2 papers)

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Research

13 pages, 3353 KiB  
Article
Exploring Microscopic Characteristics of Bicycle Riders’ following Behaviors in a Single-File Movement
by Charitha Dias, Muhammad Abdullah, Qinaat Hussain, Ahmad Mohammadtayeb Salehi and Hiroaki Nishiuchi
Appl. Sci. 2023, 13(11), 6539; https://doi.org/10.3390/app13116539 - 27 May 2023
Viewed by 1061
Abstract
Cycling can bring a wide range of social, economic, and health benefits to individuals and communities. The safety and efficiency of bicycle facilities can be significantly impacted by the interactions among riders. This study aims to examine the microscopic characteristics of how cyclists [...] Read more.
Cycling can bring a wide range of social, economic, and health benefits to individuals and communities. The safety and efficiency of bicycle facilities can be significantly impacted by the interactions among riders. This study aims to examine the microscopic characteristics of how cyclists interact with each other when they are in a single file movement based on the trajectory data collected from an experiment. Reaction delay was obtained by optimizing the correlation between relative speed and acceleration curves for individual cyclists and it was found that even for a given cyclist, this characteristic time delay could vary considerably, and be situation-dependent. Furthermore, it was found that the distribution of reaction delay, which has an average (±SD) of 0.66 s (±0.33 s), followed a log-normal distribution. The strong correlation observed between relative speed and time-delayed acceleration resembles the behavior observed in car-following situations, highlighting that relative speed is an essential factor influencing the acceleration behavior of cyclists. Multiple linear regression models were used to understand the association between acceleration and other key microscopic variables, e.g., spacing and relative speed, which are commonly used in microscopic behavior models. While the spacing between cyclists was found to have a significant impact on acceleration behavior, its effect was not as significant as that of relative speed. The outcomes of this study provide valuable insights into the cyclists’ behavior and can aid in the development of microscopic simulation models. Full article
(This article belongs to the Special Issue Road Infrastructure Systems and Future Mobility Technologies)
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20 pages, 3437 KiB  
Article
Study on the Median Opening Length of a Freeway Work Zone Based on a Naturalistic Driving Experiment
by Sen Ma, Jiangbi Hu, Ronghua Wang and Shangwen Qu
Appl. Sci. 2023, 13(2), 851; https://doi.org/10.3390/app13020851 - 7 Jan 2023
Cited by 5 | Viewed by 2009
Abstract
Median openings are an effective traffic organization mode for freeway crossover work zones, and their length is one of the most important control indicators to ensure traffic safety in work zones. In this paper, a theoretical calculation model of the median opening length [...] Read more.
Median openings are an effective traffic organization mode for freeway crossover work zones, and their length is one of the most important control indicators to ensure traffic safety in work zones. In this paper, a theoretical calculation model of the median opening length was established according to the lane-changing demands of vehicles crossing through the median opening of the freeway. Based on the calculation model, the influencing factors of the median opening length were analyzed, and the calculation values of the median opening length under different speed limits, median widths and cross slopes were proposed. A naturalistic driving experiment of drivers’ safety and comfort, with 48 participants at four opening lengths of 40, 70, 100 and 130 m in a typical freeway work zone, was carried out based on the calculated length values and the driving workload, expressing drivers’ safety and comfort. It was found that the median opening length of the freeway had a positive correlation with the vehicles’ running speed and the drivers’ driving workload: the shorter length reduced the running speed of the vehicles and led to uncoordinated running speeds in the work zone; the longer length caused driver tension and led to the vehicles’ running speed and speed variability being too high. The research results indicated that the median opening length of freeway work zones is an important factor affecting the vehicle running speed, driving workload and speed limit compliance rate. Full article
(This article belongs to the Special Issue Road Infrastructure Systems and Future Mobility Technologies)
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