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

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

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

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/LUABA24085" target="_blank" >LUABA24085: Analýza a optimalizace česko-německých mobilit pracovníků za účelem podpory přeshraniční spolupráce (Locomotion)</a><br>

  • Návaznosti

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

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Annual Set The Environment Protection - Rocznik Ochrona Srodowiska

  • ISSN

    1506-218X

  • e-ISSN

    2720-7501

  • Svazek periodika

    27

  • Číslo periodika v rámci svazku

    nečíslováno

  • Stát vydavatele periodika

    PL - Polská republika

  • Počet stran výsledku

    12

  • Strana od-do

    448-459

  • Kód UT WoS článku

    001566415500002

  • EID výsledku v databázi Scopus