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Contribution of Intelligent Transport Systems to Sustainable Development Goals
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Contribution of Intelligent Transport Systems to Sustainable Development Goals

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

Deadline for manuscript submissions: 30 November 2025 | Viewed by 4544

Special Issue Editors

Prof. Dr. Marek Stawowy

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Guest Editor
Department of Air Transport Engineering and Teleinformatics, Faculty of Transport, Warsaw University of Technology, 75 Koszykowa St., 00-662 Warsaw, Poland
Interests: information quality; uncertainty modeling; neural networks; intelligent transportation systems; image processing; reliability; exploitation; maintenance
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Adam Rosiński

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Guest Editor
Department of Air Transport Engineering and Teleinformatics, Faculty of Transport, Warsaw University of Technology, 75 Koszykowa St., 00-662 Warsaw, Poland
Interests: intelligent transportation systems; electronics (analog and digital) and issues related to reliability; exploitation, diagnostics, and design of electronic security systems (intrusion detection, video surveillance systems, access control systems, fire alarm systems, voice evacuation systems, monitoring systems, and systems integration), with a special regard for their use in transport
Special Issues, Collections and Topics in MDPI journals
Dr. Jacek Paś

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Guest Editor
Division of Electronic System Exploitations, Institute of Electronic Systems, Faculty of Electronics, Military University of Technology, 2 Gen. S. Kaliski St., 00-908 Warsaw, Poland
Interests: electromagnetics; electromagnetic compatibility; EMC; RF circuit simulation; railway; electrical engineering; diagnostics; electronic security systems-operation; operational reliability of electronic security systems; issues of power supply of electronic systems
Special Issues, Collections and Topics in MDPI journals
Dr. Michał Wiśnios

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Guest Editor
Division of Electronic Systems Exploitations, Institute of Electronic Systems, Faculty of Electronics, Military University of Technology, 2 Gen. S. Kaliski St., 00-908 Warsaw, Poland
Interests: signal processing in video systems; the process of operating electronic security systems in state critical infrastructure facilities and in transit; the use of artificial intelligence in security system sensors, especially in fire alarm systems; the use of artificial intelligence in intelligent transport systems; analysis of the transmission process of wireless alarm and fault signals in electronic security system intelligence in intelligent transport systems; use of infrared technology in sensors

Special Issue Information

Dear Colleagues,

We are inviting submissions to this Special Issue of Sustainability, entitled “Contribution of Intelligent Transport Systems to Sustainable Development Goals”.

This Special Issue will discuss issues related to this theme, namely: intelligent transport system (ITS) applications, ITS applications in sustainable growth, ITS modelling considering sustainable development, ITS information quality (IQ) modelling and measurement quality (MQ) modelling, and developing information and communication technology (ICT) and artificial intelligence (AI) systems for ITS. Studies of sustainable growth in ITS analysis regarding reliability and exploitation will be accepted, as well as those exploring the development of energy systems in this field. Considering all of the above, we chose to curate a Special Issue on these issues, and contributions may discuss a range topics, including the following:

  • ITS applications in sustainable growth;
  • ICT and AI systems for ITS applications towards sustainable development;
  • IQ assessment and estimation of MQ influence for sustainable growth;
  • ITS analysis in terms of reliability and exploitation, considering sustainability;
  • Power grids and microgrids for ITS, considering sustainability;
  • Information quality, dimensions of IQ, features of IQ dimensions, and IQ assessment;
  • Influence of ITS on quality of life.

Dr. Marek Stawowy
Dr. Adam Rosiński
Dr. Jacek Paś
Dr. Michał Wiśnios
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

  • intelligent transport systems
  • sustainable growth
  • transport system applications
  • information quality
  • communication systems
  • reliability and exploitation
  • artificial intelligence
  • quality of life

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Published Papers (3 papers)

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20 pages, 5971 KiB  
Article
Using Artificial Intelligence to Predict Power Demand in Small Power Grids—Problem Analysis as a Method to Limit Carbon Dioxide Emissions
by Tomasz Ciechulski, Jacek Paś, Marek Stawowy and Stanisław Duer
Sustainability 2025, 17(8), 3694; https://doi.org/10.3390/su17083694 - 18 Apr 2025
Viewed by 282
Abstract
The article discusses the application of advanced data mining methods applicable to electricity consumption within a local power system in Poland. This analysis involves power demand. It is aimed at predicting daily demand variations. In such a case, system demand is characterized by [...] Read more.
The article discusses the application of advanced data mining methods applicable to electricity consumption within a local power system in Poland. This analysis involves power demand. It is aimed at predicting daily demand variations. In such a case, system demand is characterized by high variability over a short period of time, e.g., 24 h. This constitutes a significant issue within a small power grid. It entails effective load programming on a given day and time. Therefore, the authors of the paper suggested employing artificial intelligence to forecast industrial power grid load for successive time intervals of the operation process. Such a solution applied within a power system enables appropriate start-up/shut-down planning, as well as generator operation at a specific capacity in power plants. It thus allows continuous power system (on-line) load demand balancing. Predicting power system load also involves determining moments, e.g., of power plant start-up, transition times to maximum or minimum output, or also the shut-down of such a process. This means ongoing and continuous (automatic) impact on electricity distribution. It significantly reduces carbon dioxide atmospheric emissions and allows zero-emission, e.g., wind, hydro, geothermal, or solar plants to meet current power needs. The issue associated with operating small ‘island’ power systems is a dynamic and rapid change in power demand. This is related to the area-based—‘island’—use’ of available power sources that can only be operated within a specific area. A very important problem occurring within these structurally small grids is the continuous forecasting of load changes and real-time response to power demand (i.e., balancing power demand through in-house or available power sources). Full article
(This article belongs to the Special Issue Contribution of Intelligent Transport Systems to Sustainable Development Goals)
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22 pages, 2411 KiB  
Article
Air Cargo Handling System Assessment Model: A Hybrid Approach Based on Reliability Theory and Fuzzy Logic
by Jacek Ryczyński, Artur Kierzkowski and Anna Jodejko-Pietruczuk
Sustainability 2024, 16(23), 10469; https://doi.org/10.3390/su162310469 - 29 Nov 2024
Cited by 1 | Viewed by 1480
Abstract
(1) Background: This paper presents the results of a study on developing a hybrid evaluation model for air cargo handling systems, combining fuzzy logic and reliability theory. (2) Methods: The research methodology consisted of two stages: the first used reliability analysis to calculate [...] Read more.
(1) Background: This paper presents the results of a study on developing a hybrid evaluation model for air cargo handling systems, combining fuzzy logic and reliability theory. (2) Methods: The research methodology consisted of two stages: the first used reliability analysis to calculate the performance of individual processes in the cargo handling system. In contrast, the second used fuzzy logic to integrate these metrics and generate an overall system evaluation. Statistical metrics, including mean and standard deviation, were used to construct adaptable membership functions for the fuzzy logic model. (3) Results: 27 test scenarios were built, in which the impact of individual compositions of operator teams (depending on their experience) implementing individual air cargo handling processes on the final assessment of the entire system was examined. Configurations with experienced operators consistently achieved the highest performance evaluations, although the strategic integration of less experienced personnel in noncritical roles was shown to maintain system functionality. (4) Conclusions: The results confirm that the proposed model is a practical decision-support tool for air cargo terminal management. It enables precise process evaluation, supports resource optimization and increases air cargo operations’ overall reliability and efficiency. Full article
(This article belongs to the Special Issue Contribution of Intelligent Transport Systems to Sustainable Development Goals)
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22 pages, 3267 KiB  
Article
Influence of the Configuration of Airport Security Control Systems on the Implementation of Assumptions of the Sustainable Development Policy
by Artur Kierzkowski, Jacek Ryczyński, Tomasz Kisiel and Ewa Mardeusz
Sustainability 2024, 16(20), 8750; https://doi.org/10.3390/su16208750 - 10 Oct 2024
Cited by 1 | Viewed by 2006
Abstract
Research by scientists dealing with sustainable development issues in the aviation industry security focuses on finding solutions that constitute the so-called ‘golden mean’ between appropriate efficiency and high levels of system safety and reliability (including human reliability). The features mentioned above have been [...] Read more.
Research by scientists dealing with sustainable development issues in the aviation industry security focuses on finding solutions that constitute the so-called ‘golden mean’ between appropriate efficiency and high levels of system safety and reliability (including human reliability). The features mentioned above have been repeatedly investigated in various studies, but always individually—to date, no one has proposed a solution indicating the balance point of all the abovementioned features. Here we propose a solution to this research gap: a model for assessing the configuration of airport security control systems. The model allows for the optimal configuration of airport security control systems. The multi-level model validation presented in the article was performed, among others, based on one of the airports in Poland, and showed that the correct configuration of the system can bring energy savings of 913,500 kWh/year in the case of large international airports. Additionally, the article discusses all solutions and modern technologies equipped with devices supporting the passenger and baggage screening process. Full article
(This article belongs to the Special Issue Contribution of Intelligent Transport Systems to Sustainable Development Goals)
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