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Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Wrocław, Poland
Prof. Dr. Tomasz Nowakowski
Department of Technical Systems Operation and Maintenance, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
Faculty of Mechanical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
Dr. Franciszek Restel
Department of Technical Systems Operation and Maintenance, Wroclaw University of Science and Technology, 27 Wyb. Wyspianskiego Str., 50-370 Wroclaw, Poland
Department of Technical Systems Operation and Maintenance, Wroclaw University of Science and Technology, 27 Wyb. Wyspianskiego Str., 50-370 Wroclaw, Poland
Dr. Anna Jodejko-Pietruczuk
Department of Technical Systems Operation and Maintenance, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
Department of Technical Systems Operation and Maintenance, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
Dr. Viktoria Ivannikova
Business School, Dublin City University, D09V209 Dublin, Ireland
Faculty of Mechanical Engineering, Wrocław University of Science and Technology, 50-371 Wrocław, Poland
Faculty of Transport and Traffic Sciences, University of Zagreb, 10000 Zagreb, Croatia
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New Technological Solutions, Research Methods, Simulation and Analytical Models That Support the Development of Modern Transport Systems, 2nd Edition

Abstract submission deadline
30 June 2026
Manuscript submission deadline
31 August 2026
Viewed by
1422

Topic Information

Dear Colleagues,

The sustainable development of transport systems (including eco-mobility) and information technology have generated an increasing demand for scientific research to support managerial and engineering decisions linked to improving current transport systems and processes. For this reason, research studies with results that can be implemented in real transport systems are becoming increasingly valuable. The development of cyber-physical systems provides an increasing amount of data that require complex models and methods, developed by the scientific community, to be analyzed and correctly interpreted. On the other hand, technology supports science, in terms of the analytical tools used and the methods of improving professional competencies.

This second edition is based on the successful first edition and continues to present new technological solutions, research methods, and analytical models that support the development of modern transport systems (considering the requirements of passengers, freight, and urban transport). All modes of transport are undergoing fundamental technological, organizational, and infrastructural changes. For this reason, this issue is also focused on presenting new approaches to the ongoing changes and solutions regarding the functioning of transport systems. The key aspect here is the development of methods for building the resistance of transport systems to withstand emerging disturbances and threats. All methods and approaches are welcome, including reliability and risk assessment, as well as analytical and simulation modeling.

Prof. Dr. Artur Kierzkowski
Prof. Dr. Tomasz Nowakowski
Dr. Agnieszka A. Tubis
Dr. Franciszek Restel
Dr. Tomasz Kisiel
Dr. Anna Jodejko-Pietruczuk
Dr. Mateusz Zaja̧c
Dr. Viktoria Ivannikova
Dr. Michał Stosiak
Prof. Dr. Andrija Vidović
Topic Editors

Keywords

  • critical infrastructure
  • transportation system analysis, modeling, and simulation
  • resilience of transport systems
  • resilience and risk assessment
  • monitoring of transport infrastructure
  • transportation system risk and protection
  • energy-efficient transport solutions
  • sustainable development of transport
  • sigitization and its use in the operation of transport systems
  • transport in a smart city
  • development of urban transport
  • virtual and augmented reality in improving the competencies of employees employed in transport systems

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Sciences
applsci 		2.5 5.5 2011 19.8 Days CHF 2400 Submit
Drones
drones 		4.8 7.4 2017 20.1 Days CHF 2600 Submit
Infrastructures
infrastructures 		2.9 6.0 2016 15.7 Days CHF 1800 Submit
Logistics
logistics 		3.6 8.0 2017 25.6 Days CHF 1400 Submit
Modelling
modelling 		1.5 2.2 2020 19.5 Days CHF 1200 Submit
Energies
energies 		3.2 7.3 2008 16.2 Days CHF 2600 Submit
Technologies
technologies 		3.6 8.5 2013 21.8 Days CHF 1600 Submit
Future Transportation
futuretransp 		1.7 3.8 2021 33.4 Days CHF 1200 Submit

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Published Papers (2 papers)

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17 pages, 3222 KB  
Article
The Influences of Bright–Dark Lighting Environments on Driving Safety in the Diverging Zone of Interchange in Highway Tunnels
by Zechao Zhang, Jiangbi Hu, Ronghua Wang and Changqiu Jiang
Appl. Sci. 2025, 15(18), 10067; https://doi.org/10.3390/app151810067 - 15 Sep 2025
Viewed by 140
Abstract
Increasing the lighting luminance in the diverging zone of interchange in highway tunnels can generally enhance driving safety. However, it creates a bright–dark luminance contrast with the adjacent road. A pronounced contrast can induce new driving risks. This underlying mechanism remains unclear. Three [...] Read more.
Increasing the lighting luminance in the diverging zone of interchange in highway tunnels can generally enhance driving safety. However, it creates a bright–dark luminance contrast with the adjacent road. A pronounced contrast can induce new driving risks. This underlying mechanism remains unclear. Three key factors, i.e., the luminance of the dark environment, the bright–dark luminance ratio, and the position of the small target, are identified in this paper, which affect drivers’ visual recognition abilities. Based on fundamental tunnel lighting design rules, a series of naturalistic driving tests on the visual recognition distance for small targets with 132 conditions were designed. It combined three dark environment luminance levels (1.5~3.5 cd/m2), four bright–dark luminance ratios (2~5), and eleven small target positions (−50~+50 m). Twenty-four drivers were randomly selected and drove vehicles under the different scenarios. Their visual recognition distances for small targets were recorded and analyzed. The results show that visual recognition distances for small target visuals under different bright–dark lighting environments vary significantly, and the shortest distances occur exactly at the luminance boundary. Both decreasing the bright–dark luminance ratio and proportionally increasing the luminance levels of the bright and dark environments can markedly improve the visual recognition distance. A multi-parameter regression model was developed to correlate the visual recognition distance at the bright–dark luminance boundary with the luminance of the dark environment and the bright–dark luminance ratio. Based on drivers’ required safe sight distance, a method for setting lighting luminance in the diverging zone of interchange was proposed. The methodology and findings offer technical support for lighting design and safety management in the diverging zone of interchange in highway tunnels. Full article
(This article belongs to the Topic New Technological Solutions, Research Methods, Simulation and Analytical Models That Support the Development of Modern Transport Systems, 2nd Edition)
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17 pages, 2687 KB  
Article
Examining the Application Possibilities and Economic Issues of an Alternative Drive Chain in Hungary: Scenario Analysis
by Adrienn Boldizsár, Ádám Török and Norina Szander
Logistics 2025, 9(2), 77; https://doi.org/10.3390/logistics9020077 - 19 Jun 2025
Viewed by 750
Abstract
Background: A societal shift in attitudes is going to be required to reduce greenhouse gas emissions in the field of transportation, which is crucial to the level of mitigation that can be achieved. There is increasing pressure on policymakers to address climate [...] Read more.
Background: A societal shift in attitudes is going to be required to reduce greenhouse gas emissions in the field of transportation, which is crucial to the level of mitigation that can be achieved. There is increasing pressure on policymakers to address climate change and, in turn, to promote sustainable transport. The sector’s decarbonization is essential to meet climate change targets, and alternative powertrains, particularly battery electric trucks, can play a key role. However, international research shows that the solutions and strategic plan proposals are primarily developed in isolation according to the country’s specific conditions. Methods: This study aims to compare battery electric trucks and conventional internal combustion engine trucks in Hungary, focusing on the total cost of ownership over ten years. Results: This study examines the cost parameters for operating electric and conventional trucks, based on current economic conditions. In addition, alternative studies have been carried out to see what additional savings can be expected by changing the parameters under consideration. This research examines four scenarios that model changes in state subsidies, tolls, and excise duties alongside current cost parameters. Conclusions: The results suggest that public policy interventions play a key role in developing sustainable transport systems, particularly to preserve the competitiveness of small and medium-sized enterprises. Full article
(This article belongs to the Topic New Technological Solutions, Research Methods, Simulation and Analytical Models That Support the Development of Modern Transport Systems, 2nd Edition)
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