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Advances in Vehicle Dynamics and Road Safety: Technologies, Simulations and Applications, 2nd Edition

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

Deadline for manuscript submissions: 30 August 2025 | Viewed by 422

Special Issue Editors


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Guest Editor
Department of Automobile Engineering, Faculty of Transport Engineering, Vilnius Gediminas Technical University (VILNIUS TECH), Plytinės Str. 25, LT-10105 Vilnius
Interests: vehicle dynamics; road safety; road accidents analysis, modelling and expertise
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Automobile Engineering, Faculty of Transport Engineering, Vilnius Gediminas Technical University (VILNIUS TECH), Plytinės Str. 25, LT-10105 Vilnius
Interests: vehicle dynamics; road safety; road accidents analysis; vehicle active and passive safety; road user behaviour
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The smooth operation of the transport sector is inseparable from advances in vehicle design. This is achieved by enhancing the dynamics and performance of vehicles, as well as presenting technical solutions that improve road safety. Moreover, it is important to analyze the movement of vehicles, traffic flow and road accident data during certain driving conditions to enhance the effective operation of transport. Active, passive and integral vehicle safety is constantly being improved, and various measures that ensure road safety are being developed; however, this research remains relevant, as appoximately 1.19 million people die on roads every year. Therefore, this Special Issue welcomes the submission of articles that address the development and evaluation of recent technological solutions, their application and their modelling in relation to vehicle dynamics, road safety and accident analysis.

This Special Issue will focus on recent advances in the field, particularly those related to vehicle dynamics and safety, road safety, accident analysis, simulation and reconstruction. The scope of this Special Issue includes, but is not limited to, the following topics:

  • vehicle dynamics and their operational characteristics;
  • road safety: technologies, simulations and applications;
  • road accidents analysis, modelling and reconstruction;
  • active, passive and integral vehicle safety;
  • traffic flow planning and optimization;
  • technical solutions for traffic organisation and problems of their application;
  • road user behaviour and the influence of human factors on road safety;
  • the transportation of dangerous goods;
  • connected and autonomous vehicles;
  • alternative solutions in road safety research.

Prof. Dr. Edgar Sokolovskij
Dr. Vidas Žuraulis
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

  • vehicle dynamics
  • road safety
  • accidents analysis
  • accidents reconstruction
  • active safety
  • passive safety
  • traffic flows
  • traffic organization
  • dangerous goods
  • autonomous vehicles
  • human factor

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Published Papers (1 paper)

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Research

27 pages, 3865 KiB  
Article
Service Management of Employee Shuttle Service Under Inhomogeneous Fleet Constraints Using Dynamic Linear Programming: A Case Study
by Metin Mutlu Aydin, Edgar Sokolovskij, Piotr Jaskowski and Jonas Matijošius
Appl. Sci. 2025, 15(9), 4604; https://doi.org/10.3390/app15094604 - 22 Apr 2025
Viewed by 246
Abstract
Traffic congestion is becoming an increasing problem due to the rapid growth of the population. In the current situation, the mode choice of the people has a direct impact on traffic density. For this reason, many studies have been carried out by researchers [...] Read more.
Traffic congestion is becoming an increasing problem due to the rapid growth of the population. In the current situation, the mode choice of the people has a direct impact on traffic density. For this reason, many studies have been carried out by researchers and planners to reduce the number of vehicles on the road. Various strategies have been proposed, such as incentives for public transport, parking restrictions, parking pricing and car sharing. It is very important that these strategies are implemented by the institutions in order to reduce traffic during the commuting hours, which coincide with the rush hour. Especially in areas such as shipyards and industrial zones, which are far from the city center and relatively difficult to reach but which provide employment opportunities for thousands of people, a shuttle service is one of the most preferred strategies to discourage employees from using private cars. However, in companies with thousands of employees, this situation generates costs that cannot be ignored. The examined case study similarly needs to optimize and reduce operational costs related to fuel consumption, maintenance and tax expenses by optimizing the number of two different types of service vehicles required for employee transportation at the Yalova Shipyard. For this aim, a dynamic linear programming (DLP) model was used to achieve a cost-effective, sustainable and demand-responsive shuttle service. According to the analysis results, it was concluded that the annual fuel cost of the vehicles will be reduced by 33.9%, the maintenance cost by 35.2% and the annual tax cost by 49.3% by disposing of the unneeded vehicles (27%) in the studied Yalova Shipyard. Taking all these positive improvements into account, it is clear that the optimization study significantly reduces the costs incurred by the service. Full article
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