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Application of Unmanned Aerial Vehicles and Microsimulation Optimization to Conduct Traffic Mobility Surveys: Case Study from the South Bohemia Region

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F25%3A00002910" target="_blank" >RIV/75081431:_____/25:00002910 - isvavai.cz</a>

  • Result on the web

    <a href="https://ros.edu.pl/index.php/en/?view=article&id=1604:2025-vol-27-en-37&catid=105" target="_blank" >https://ros.edu.pl/index.php/en/?view=article&id=1604:2025-vol-27-en-37&catid=105</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Application of Unmanned Aerial Vehicles and Microsimulation Optimization to Conduct Traffic Mobility Surveys: Case Study from the South Bohemia Region

  • Original language description

    The study explores the potential use of unmanned aerial vehicles (UAVs) for conducting road traffic surveys, developing, and optimizing a simulation model of a specific intersection in the South Bohemia region to enhance its traffic throughput. Input data on traffic intensity was retrieved by implementing a UAV and processed using the DataFromSky application. The spatial distribution of the intersection was created based on orthophoto images, whereby the AnyLogic software was applied to model traffic mobility behavior. Subsequently, an optimization experiment was conducted, focusing on adjusting the intervals of individual traffic light phases to minimize the mean transit time. The findings indicate that the optimization resulted in a reduction in the mean transit time from 48 to 28 seconds, representing a 41.6% streamlining. The study confirms that applying unmanned aerial vehicles and microsimulation optimization tools for mobility surveys and effective urban traffic management is highly beneficial. At the same time, shortening the time when vehicles pass through an intersection is also an aspect of environmental protection, as vehicles spend less time idling and emit fewer pollutants into the environment. In light of the above, there is less congestion at the intersection as well, which results in a positive environmental impact – the lower the traffic intensity at the intersection, the lower the emission of CO2 and NOx.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50703 - Transport planning and social aspects of transport (transport engineering to be 2.1)

Result continuities

  • Project

    <a href="/en/project/LUABA24085" target="_blank" >LUABA24085: Analysis and optimization of the Czech-German commuting traffic to promote cross-border co-operation (Locomotion)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Annual Set The Environment Protection - Rocznik Ochrona Srodowiska

  • ISSN

    1506-218X

  • e-ISSN

    2720-7501

  • Volume of the periodical

    27

  • Issue of the periodical within the volume

    nečíslováno

  • Country of publishing house

    PL - POLAND

  • Number of pages

    12

  • Pages from-to

    448-459

  • UT code for WoS article

    001566415500002

  • EID of the result in the Scopus database