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Modelling of Traffic Load by the DataFromSky system in the Smart Cities Concept

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26610%2F19%3APU133874" target="_blank" >RIV/00216305:26610/19:PU133874 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://link.springer.com/chapter/10.1007/978-3-030-22070-9_7" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-22070-9_7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-22070-9_7" target="_blank" >10.1007/978-3-030-22070-9_7</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Modelling of Traffic Load by the DataFromSky system in the Smart Cities Concept

  • Popis výsledku v původním jazyce

    Transport is an economic sector that is growing in the global scale in most of the monitored indicators. There are commensurately increasing negative effects on the urban population health and the environment (emissions, noise, hazardous materials transport, congestion, human inactivity, etc.). The issue of sustainable transport, especially in the urban areas, is being discussed more often. Negative impact on the human health can never be avoided, but in a responsible and sustainable society the sets of measures are applied to minimize the impact. One of the possible approaches to the solution is to use the data obtained with the DataFromSky system focused on the intensity modelling and generation of emissions from transport. This system is a software tool that uses the real traffic information about the monitored area of traffic such as the type of the passing vehicles, their speed and acceleration profile. The data are analyzed and processed in two stages. The first one is georegistration and the latter one is detection, localization and cracking of objects of interest in the video sequence. These data are obtained by monitoring the traffic area with the application of the drone technology or camera systems. The measured data can be used for predictions and modelling of the emission development in transport. The aim is to create a supporting tool for traffic control which is in accordance with the Smart Cities concept and leads to reducing the emission load from traffic.

  • Název v anglickém jazyce

    Modelling of Traffic Load by the DataFromSky system in the Smart Cities Concept

  • Popis výsledku anglicky

    Transport is an economic sector that is growing in the global scale in most of the monitored indicators. There are commensurately increasing negative effects on the urban population health and the environment (emissions, noise, hazardous materials transport, congestion, human inactivity, etc.). The issue of sustainable transport, especially in the urban areas, is being discussed more often. Negative impact on the human health can never be avoided, but in a responsible and sustainable society the sets of measures are applied to minimize the impact. One of the possible approaches to the solution is to use the data obtained with the DataFromSky system focused on the intensity modelling and generation of emissions from transport. This system is a software tool that uses the real traffic information about the monitored area of traffic such as the type of the passing vehicles, their speed and acceleration profile. The data are analyzed and processed in two stages. The first one is georegistration and the latter one is detection, localization and cracking of objects of interest in the video sequence. These data are obtained by monitoring the traffic area with the application of the drone technology or camera systems. The measured data can be used for predictions and modelling of the emission development in transport. The aim is to create a supporting tool for traffic control which is in accordance with the Smart Cities concept and leads to reducing the emission load from traffic.

Klasifikace

  • Druh

    C - Kapitola v odborné knize

  • CEP obor

  • OECD FORD obor

    20104 - Transport engineering

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2019

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název knihy nebo sborníku

    Smart Governance for Cities: Perspectives and Experiences

  • ISBN

    978-3-030-22069-3

  • Počet stran výsledku

    18

  • Strana od-do

    135-152

  • Počet stran knihy

    223

  • Název nakladatele

    Springer Nature Switzerland AG

  • Místo vydání

    Cham

  • Kód UT WoS kapitoly