Communications - Scientific Letters of the University of Zilina 2025, 27(2):E21-E34 | DOI: 10.26552/com.C.2025.021

Dynamic Routing in Urban Transport Logistics under Limited Traffic Information

Viktor Danchuk ORCID...1, Oleksandr Hutarevych ORCID...1, *, Serhii Taraban ORCID...2
1 Department of Information Analysis and Information Security, Faculty of Transport and Information Technologies, National Transport University, Kyiv, Ukraine
2 Department of Transport Safety Research, Issues of Normalization, Standardization and Metrology, State Enterprise "State Road Transport Research Institute", Kyiv, Ukraine

A method for online dynamic routing of freight delivery under limited traffic information using an ant colony algorithm, has been proposed. This method leverages real-time IoT data on traffic flow (TF) intensity from traffic sensors on urban road network (URN) sections, combined with averaged historical data on TF parameters (speed, density, intensity) obtained from traffic sensors on representative sections of homogeneous clusters within the URN. The procedure for forming homogeneous clusters within the URN and identifying representative sections is described. The results of simulation studies using the URN of Kyiv as an example indicate the potential of this method for urban transport logistics in conditions of complex traffic.

Keywords: adaptive information system, AI methods of discrete optimization, dynamic routing, transport logistics, urban road network, IoT technologies, dynamic traveling salesman problem
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The authors received no financial support for the research, authorship and/or publication of this article.

Conflicts of interest:

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Received: September 5, 2024; Accepted: January 29, 2025; Prepublished online: February 19, 2025; Published: April 1, 2025  Show citation

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Danchuk, V., Hutarevych, O., & Taraban, S. (2025). Dynamic Routing in Urban Transport Logistics under Limited Traffic Information. Communications - Scientific Letters of the University of Zilina, 27(2), E21-34. doi: 10.26552/com.C.2025.021
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