Modeling of Processes in Transport Systems

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".

Deadline for manuscript submissions: 31 May 2026 | Viewed by 391

Special Issue Editors


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Guest Editor
Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11000 Belgrade, Serbia
Interests: postal services; transportation science; decision-making; optimization algorithms; fuzzy logic
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11000 Belgrade, Serbia
Interests: postal services; transportation science; decision-making; geometric modeling and visualization; new technologies

E-Mail Website
Guest Editor
Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11000 Belgrade, Serbia
Interests: geometric modeling and visualization; traffic safety; perception; new technologies

Special Issue Information

Dear Colleagues,

Mathematical modeling plays a crucial role in understanding, analyzing, and optimizing processes within transport systems. As the transport sector faces increasing demands for safety, efficiency, resilience, and sustainability, the application of advanced mathematical tools is becoming increasingly important. Transport systems are inherently complex and often operate under dynamic, uncertain, or multi-variable conditions, making them ideal candidates for rigorous modeling approaches.

This Special Issue aims to bring together high-quality contributions that demonstrate the development and application of mathematical models and simulations in the field of transport systems. Topics of interest include, but are not limited to, the following: mathematical and geometric modeling; traffic flow and safety analyses; transport network optimization; data-driven decision-making; and the use of soft computing techniques such as fuzzy logic, machine learning, neural networks, or hybrid algorithms. Both theoretical advancements and practical implementations are welcome, with an emphasis on interdisciplinary approaches that bridge mathematics and engineering practice. We invite researchers from academia, industry, and government institutions to submit their original research articles, review papers, or case studies addressing contemporary challenges through modeling in transport systems.

Prof. Dr. Momčilo Dobrodolac
Dr. Dragan Lazarević
Dr. Aleksandar Trifunović
Guest Editors

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Keywords

  • mathematical modeling
  • transport systems
  • optimization
  • simulation
  • safety
  • sustainable transport
  • last-mile delivery
  • infrastructure
  • traffic analysis
  • geometric modeling
  • decision-making
  • fuzzy approach
  • machine learning
  • artificial intelligence

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Published Papers (1 paper)

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Research

32 pages, 1990 KB  
Article
Assessment of Efficiency of Last-Mile Delivery Zones: A Novel IRN OWCM–IRN AROMAN Model
by Bojan Jovanović, Željko Stević, Jelena Mitrović Simić, Aleksandra Stupar and Miloš Kopić
Mathematics 2025, 13(17), 2845; https://doi.org/10.3390/math13172845 - 3 Sep 2025
Viewed by 220
Abstract
The importance of managing goods delivery in urban areas has reached its peak in recent years, driven by the constant and rapid growth of online commerce. Under such conditions, where smaller quantities of goods are ordered, yet the number of shipments continues to [...] Read more.
The importance of managing goods delivery in urban areas has reached its peak in recent years, driven by the constant and rapid growth of online commerce. Under such conditions, where smaller quantities of goods are ordered, yet the number of shipments continues to rise, the question of last-mile delivery (LMD) efficiency becomes increasingly relevant. This paper addresses the issue of last-mile delivery zone efficiency through the application of a new methodological approach. First, the concept of measuring last-mile delivery productivity is defined using a specific example from an urban environment. Next, Key Performance Indicators (KPIs) are established to enable a proper assessment of urban zone efficiency in line with the LMD concept. The main contribution of this study is the development of the IRN OWCM (Interval Rough Number Opinion Weight Criteria Method), which is used to calculate the weights of the criteria. To assess suitable delivery zones in terms of efficiency based on the defined KPIs, the previously developed IRN OWCM method is integrated with IRN AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalization). The results identify delivery zones that are suitable in terms of meeting standardized user needs. The developed model demonstrated stability through additional verification tests and can be adequately applied in cases when it is needed to minimize subjectivity and uncertainties. Full article
(This article belongs to the Special Issue Modeling of Processes in Transport Systems)
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