Transportation in the 21st Century: New Vision on Future Mobility

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 February 2024) | Viewed by 5313

Special Issue Editors

Faculty of Transport, Warsaw University of Technology, 00662 Warsaw, Poland
Interests: modeling and optimization of logistics systems; material flow simulation; intermodal transport technology; intermodal terminals design and optimization; ecology in transport
Special Issues, Collections and Topics in MDPI journals
Faculty of Transport, Warsaw University of Technology, 00662 Warsaw, Poland
Interests: transport; facility space design; TRIZ; process modelling in logistics systems; warehousing and material flow optimization

Special Issue Information

Dear Colleagues,

A safer, more environmentally friendly, and smarter way of mobility has been envisioned in recent years to create a better future. Whether accelerating seamless mobility technologies, connected and autonomous vehicle technologies, or smart infrastructure deployments that encourage new modes and ways of transportation such as micromobility, ride-hailing services, car sharing, bike sharing, micromobility, and unmanned systems, they are all on the way to an ideal new transportation system for the 21st century.

In this Special Issue on “Transportation in the 21st Century: New Vision on Future Mobility”, we are aiming to include all the aspects of future transportation technologies, including but not limited to V2X and connected transportation, autonomous vehicles, smart infrastructure, freight, and so on. If you are interested in this topic and would like to share your work with us, please do not hesitate to contact us.

Dr. Roland Jachimowski
Dr. Andrzej Ratkiewicz
Guest Editors

Manuscript Submission Information

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Keywords

  • V2X and connected transportation
  • autonomous vehicles
  • smart infrastructure
  • freight

Published Papers (4 papers)

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Editorial

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3 pages, 190 KiB  
Editorial
Transportation in the 21st Century: New Vision on Future Mobility
Appl. Sci. 2022, 12(22), 11663; https://doi.org/10.3390/app122211663 - 17 Nov 2022
Viewed by 1118
Abstract
I am pleased to present this Special Issue on “Transportation in the 21st Century: New Vision on Future Mobility” [...] Full article
(This article belongs to the Special Issue Transportation in the 21st Century: New Vision on Future Mobility)

Research

Jump to: Editorial

21 pages, 3078 KiB  
Article
Increasing the Readiness of Railway Traffic Control Devices Using a Functional Test Generation Method
Appl. Sci. 2023, 13(13), 7717; https://doi.org/10.3390/app13137717 - 29 Jun 2023
Cited by 1 | Viewed by 566
Abstract
Railway traffic control (RTC) equipment are technical devices developed for maintaining the safety of rail vehicle traffic operation, and must satisfy certain requirements related to a specific level of traffic safety and effectiveness. They are designed to ensure operational reliability under the intended [...] Read more.
Railway traffic control (RTC) equipment are technical devices developed for maintaining the safety of rail vehicle traffic operation, and must satisfy certain requirements related to a specific level of traffic safety and effectiveness. They are designed to ensure operational reliability under the intended application conditions throughout their entire service life. Regardless of their type and kind, however, they must behave in accordance with the assumed functional rules and requirements. This is why periodic tests of their correct operation are so crucial. Functional tests are applied to this end. They are employed in the course of device design and approval for use as well as in equipment operational diagnostics. Previous methods for generating test sets and their processing have been intuitive and often rely on the experience of testers that have been acquired in the course of implementing other tests. Such tests may be incomplete or fail to take into account all studied functions. Therefore, this article presents a proprietary method for generating functional tests covering railway traffic control devices that improve their readiness. The authors describe a test determination procedure algorithm and specify the conditions to be met by a test set and by optimization criteria. The article ends with a computer-based exemplification of the developed functional test generation method. Full article
(This article belongs to the Special Issue Transportation in the 21st Century: New Vision on Future Mobility)
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12 pages, 1715 KiB  
Article
A Labelling Method for the Travelling Salesman Problem
Appl. Sci. 2023, 13(11), 6417; https://doi.org/10.3390/app13116417 - 24 May 2023
Viewed by 1668
Abstract
The travelling salesman problem (TSP) is a problem whereby a finite number of nodes are supposed to be visited exactly once, one after the other, in such a way that the total weight of connecting arcs used to visit these nodes is minimized. [...] Read more.
The travelling salesman problem (TSP) is a problem whereby a finite number of nodes are supposed to be visited exactly once, one after the other, in such a way that the total weight of connecting arcs used to visit these nodes is minimized. We propose a labelling method to solve the TSP problem. The algorithm terminates after K−1 iterations, where K is the total number of nodes in the network. The algorithm’s design allows it to determine alternative tours if there are any in the TSP network. The computational complexity of the algorithm reduces as iterations increase, thereby making it a powerful and efficient algorithm. Numerical illustrations are used to prove the efficiency and validity of the proposed algorithm. Full article
(This article belongs to the Special Issue Transportation in the 21st Century: New Vision on Future Mobility)
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26 pages, 5833 KiB  
Article
Urban Congestion Avoidance Methodology Based on Vehicular Traffic Thresholding
Appl. Sci. 2023, 13(4), 2143; https://doi.org/10.3390/app13042143 - 07 Feb 2023
Cited by 1 | Viewed by 1110
Abstract
Vehicular traffic in urban areas faces congestion challenges that negatively impact our lives. The infrastructure associated with intelligent transportation systems provides means for addressing the associated challenges in urban areas. This study proposes an effective and scalable vehicular traffic congestion avoidance methodology. It [...] Read more.
Vehicular traffic in urban areas faces congestion challenges that negatively impact our lives. The infrastructure associated with intelligent transportation systems provides means for addressing the associated challenges in urban areas. This study proposes an effective and scalable vehicular traffic congestion avoidance methodology. It introduces a traffic thresholding mechanism to predict and avoid vehicular traffic congestion during route computation. Our methodology was evaluated and validated by employing four road network topologies, three vehicular traffic density levels and various traffic light configurations, resulting in 26 urban traffic scenarios. Using our approach, the number of vehicles that can run in free flow can be increased by up to 200%, whereas for traffic congestion scenarios, the time spent in traffic may be reduced by up to 69% and CO2 emissions by up to 61%. To the best of our knowledge, in the vehicular traffic flow prediction domain, this is the first approach that covers a set of road network topologies and a large and representative set of scenarios for simulated urban traffic congestion testing. Moreover, the comparative analysis with different other solutions in the domain, showed that we obtained the best driving time and CO2 emission reduction. Full article
(This article belongs to the Special Issue Transportation in the 21st Century: New Vision on Future Mobility)
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