Enhancing Information Resources for Urban Freight Management through Image Processing and Analysis

Artur Kujawski; Tomasz Dud; Mariusz Nürnberg

doi:10.2478/ttj-2026-0016

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Enhancing Information Resources for Urban Freight Management through Image Processing and Analysis

Transport and Telecommunication Journal

Volume 27 (2026): Issue 2 (April 2026)

By: Artur Kujawski, Tomasz Dud and Mariusz Nürnberg

Open Access

|Apr 2026

Abstract

The issue of incomplete data on the volume and types of freight transport in urban areas is well known, leading to difficulties in managing transport processes and hindering the development of strategic approaches for modern cities. To improve the management of freight flows, it is essential to distinguish freight vehicles from private and public transport. This paper investigates and develops methods for vehicle detection and tracking using cameras mounted on unmanned aerial vehicles (UAVs), aiming to enhance urban logistics data through image processing and analysis algorithms. A multi-camera vehicle detection and tracking algorithm was developed to support the analysis and evaluation of traffic flow efficiency in urban logistics, ultimately contributing to improved transportation management aligned with emission reduction principles.

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Articles in this issue

DOI: https://doi.org/10.2478/ttj-2026-0016 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160

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Language: English

Page range: 214 - 225

Published on: Apr 26, 2026

Published by: Transport and Telecommunication Institute

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Urban freight transport,

city logistics,

sustainable urban mobility plan,

data driven logistics,

intelligent transportation system,

emmerging technologies,

image processing

Related subjects:

Engineering,

Introductions and overviews,

Engineering, other

© 2026 Artur Kujawski, Tomasz Dud, Mariusz Nürnberg, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 27 (2026): Issue 2 (April 2026)