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Sustainable and Smart Transportation Systems

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

Deadline for manuscript submissions: 31 July 2026 | Viewed by 2098

Special Issue Editors


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Guest Editor
Department of Civil, Environmental and Mechanical Engineering (DICAM), University of Trento, via Mesiano 77, 38123 Trento (TN), Italy
Interests: railway engineering; highway engineering; traffic microsimulation; road safety; cost-benefit analysis (CBA)
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Technical Mechanics, Ukrainian State University of Science and Technology, Lazaryan Str. 2, 49010 Dnipro, Ukraine
Interests: traffic engineering; highway engineering; railway engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Innovative and unconventional technologies have recently been proposed and/or applied in all fields of transportation engineering, with the primary intention of creating smarter, safer, and efficient transport systems. With the expansion of Artificial Intelligence (AI), there is a significant need to integrate a variety of digital devices (e.g., intelligent sensors and microsensors) into transportation infrastructures (i.e., roads, railways, and airports) and vehicles that can be used throughout all phases of their useful life (design, construction, monitoring, and maintenance).

This Special Issue focuses on the main innovations and technologies in smart mobility systems, specifically focusing on digitalized infrastructures (e.g., smart roads, smart intersections, and smart railways) and autonomous vehicles (e.g., CAVs).

Researchers and practitioners are invited to submit original research articles, reviews, and case studies related to sustainable and smart transportation systems.

Topics of interest include, but are not limited to, the following:

  • Innovative highway, railway, and other types of transport infrastructure;
  • Advanced driver assistance systems;
  • Artificial Intelligence applications in railway and highway engineering;
  • Urban transit planning, control, and management;
  • Smart mobility and smart sensors;
  • Green infrastructures and energy-saving systems;
  • Pavement engineering and life cycle assessment (LCA);
  • Cost–benefit analysis (CBA) of smart transportation systems;
  • Accident analysis and prevention;
  • BIM applications in transportation systems.

Dr. Marco Guerrieri
Dr. Larysa Neduzha
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 250 words) can be sent to the Editorial Office for assessment.

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

  • sustainable
  • smart transportation systems
  • artificial intelligence
  • safety
  • advanced sensors

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Published Papers (2 papers)

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Research

26 pages, 5092 KB  
Article
The Impact of Vibrations and Transport Systems on Human Comfort and Health: A Perspective on the Development of Sustainable City Buses
by Artūras Kilikevičius, Tautvydas Pravilonis, Jonas Matijošius, Edgar Sokolovskij, Kristina Kilikevičienė and Darius Vainorius
Sustainability 2025, 17(22), 10258; https://doi.org/10.3390/su172210258 - 16 Nov 2025
Viewed by 537
Abstract
The objective of advancing sustainable public transportation extends beyond merely reducing pollution; it also aims to enhance the comfort and well-being of both passengers and drivers. This research investigates the influence of the dynamic characteristics of diesel and electric city buses on human [...] Read more.
The objective of advancing sustainable public transportation extends beyond merely reducing pollution; it also aims to enhance the comfort and well-being of both passengers and drivers. This research investigates the influence of the dynamic characteristics of diesel and electric city buses on human comfort, focusing specifically on vibration analysis. Vibrations have a significant impact on the durability of vehicle structures, passenger safety, and drivers’ working conditions, and long-term exposure can have negative health consequences. Based on experimental measurements and mathematical modeling, a dynamic model of a city bus was created, allowing us to assess the damping properties of suspension elements and the effect of load on vibrations. The findings of the study indicate that the judicious implementation of structural solutions and technological measures enhances the reliability of the transport system while simultaneously fostering the advancement of more sustainable and safer public transport options. The acquired data hold significance for both the development of new electric buses and the refurbishment of existing vehicles, aiming to integrate energy efficiency, comfort, and sustainable mobility. Full article
(This article belongs to the Special Issue Sustainable and Smart Transportation Systems)
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31 pages, 6121 KB  
Article
Will Automated Vehicles Drive You to Move? Exploring and Predicting the Impact of AV Technology on Residential Relocation
by Song Wang, Xin Tian, Zhixia Li, Shang Jiang, Wenjing Zhao, Shiyao Zhang, Hao (Frank) Yang and Guohui Zhang
Sustainability 2025, 17(21), 9911; https://doi.org/10.3390/su17219911 - 6 Nov 2025
Viewed by 376
Abstract
Automated vehicle (AV) technology is expected to alter travel behavior and residential location choices, yet the psychological motivations behind relocation decisions under current partial automation (Level 2) remain underexplored, as most studies focus on fully autonomous scenarios. This study explores why individuals might [...] Read more.
Automated vehicle (AV) technology is expected to alter travel behavior and residential location choices, yet the psychological motivations behind relocation decisions under current partial automation (Level 2) remain underexplored, as most studies focus on fully autonomous scenarios. This study explores why individuals might relocate in response to AV availability in both short-term and long-term contexts and predicts how willingness to relocate changes as automation levels advance. In a survey of Kentucky residents, data were collected on demographic and economic characteristics, travel needs, built environment attributes, AV familiarity, comfort with different automation levels, and willingness to relocate if AVs were available. Multiple machine learning models with Shapley Additive Explanations (SHAP) were used to predict and interpret changes in relocation willingness. Results indicate that greater comfort with high-level automation and higher AV familiarity increase relocation intentions, particularly among men, older adults with higher incomes, and urban residents. SHAP analysis reveals that built environment, age, and comfort with fully autonomous driving are the most influential predictors of changes in relocation willingness. Findings inform land use and housing policy by identifying where perception-driven relocation pressures are likely to emerge and by outlining adaptive tools to guide spatial growth as AV technology advances. Full article
(This article belongs to the Special Issue Sustainable and Smart Transportation Systems)
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