About the paper
| Title |
Assessment of the Potential of Sentinel-2 Remote Sensing Data for Supporting Logistics Planning and Enhancing Intelligent Transport Systems at Border Crossings in Serbia |
| Book |
ICIST 2025 Proceedings |
| Book |
ICIST 2025 Proceedings |
| Pages |
155-164 |
| Abstract: This paper assesses the potential of Sentinel-2 remote sensing data to
support logistics planning and enhance intelligent transport systems (ITS) at border crossings in Serbia. Leveraging Serbia's strategic transit position, which connects Western and Central Europe with the Middle East, the study addresses the
challenges of cross-border delays that arise from Serbia's status as a non-EU
country. These delays often lead to frequent traffic congestion, and increased logistics costs. The study develops two algorithms based on Sentinel-2 images. The
first algorithm detects moving trucks on roads leading to border crossings using
spectral band analysis and temporal displacement effects, achieving an accuracy
of 74%. The second algorithm identifies the end of freight vehicle queues, enhanced through super-resolution techniques, and reaches an accuracy of 91% in
detecting queue endpoints. The results demonstrate that Sentinel-2 data has the
potential to provide cost-effective, scalable solutions for traffic monitoring and
optimizing cross-border logistics operations. Nevertheless, it is necessary to address the limitation of its 5-day temporal resolution to enhance its applicability
for continuous traffic monitoring. |
Full citation
Marković, A.,
Gligorić, N.
Assessment of the Potential of Sentinel-2 Remote Sensing Data for Supporting Logistics Planning and Enhancing Intelligent Transport Systems at Border Crossings in Serbia. In:
Zdravković, M.,
Trajanović, M.,
Konjović, Z.,
Filipović, N.,
Ivković, M.
(Eds.)
ICIST 2025 Proceedings, pp.155-164, 2025
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