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The need for balanced policies integrating autonomous vehicles in cities

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F20%3A00341888" target="_blank" >RIV/68407700:21260/20:00341888 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://doi.org/10.1109/SCSP49987.2020.9134030" target="_blank" >https://doi.org/10.1109/SCSP49987.2020.9134030</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SCSP49987.2020.9134030" target="_blank" >10.1109/SCSP49987.2020.9134030</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    The need for balanced policies integrating autonomous vehicles in cities

  • Popis výsledku v původním jazyce

    Smart Cities become a phenomenon that is strongly linked to people and their quality of life, technologies, data, information and automation. All these will be present in future transportation that is expected to be connected and automated. While advances in vehicle automation can make cities smarter, safer, cleaner, or more energy efficient, it can also make traffic management increasingly more complicated. As a result, current traffic management tools and policies may become inefficient. Since we already experience systematic growth in Smart City technology around the world, new sets of rules and policies to protect cities and their citizens in the emerging digital and automated era must be developed and enforced. Solutions such as automated driving introduce new challenges and opportunities for climate change mitigation and improvement of traffic conditions in densely urbanized city centers. There are different approaches to integrate autonomous vehicles and their novel functionalities into the traffic management. In this paper we demonstrate such functionalities and their impact on different traffic and environmental parameters based on traffic microscopic simulation adopted to such connected functionality. The results clearly show the need to carefully and individually analyze and prioritize the impact of the CAVs functionalities for each city and each traffic situation individually, as they might have contradictory effects on traffic. The key performance indicators must be defined and the functionalities carefully integrated into the existing traffic management. This is true for the mixed traffic during the early introduction of CAVs in cities even more.

  • Název v anglickém jazyce

    The need for balanced policies integrating autonomous vehicles in cities

  • Popis výsledku anglicky

    Smart Cities become a phenomenon that is strongly linked to people and their quality of life, technologies, data, information and automation. All these will be present in future transportation that is expected to be connected and automated. While advances in vehicle automation can make cities smarter, safer, cleaner, or more energy efficient, it can also make traffic management increasingly more complicated. As a result, current traffic management tools and policies may become inefficient. Since we already experience systematic growth in Smart City technology around the world, new sets of rules and policies to protect cities and their citizens in the emerging digital and automated era must be developed and enforced. Solutions such as automated driving introduce new challenges and opportunities for climate change mitigation and improvement of traffic conditions in densely urbanized city centers. There are different approaches to integrate autonomous vehicles and their novel functionalities into the traffic management. In this paper we demonstrate such functionalities and their impact on different traffic and environmental parameters based on traffic microscopic simulation adopted to such connected functionality. The results clearly show the need to carefully and individually analyze and prioritize the impact of the CAVs functionalities for each city and each traffic situation individually, as they might have contradictory effects on traffic. The key performance indicators must be defined and the functionalities carefully integrated into the existing traffic management. This is true for the mixed traffic during the early introduction of CAVs in cities even more.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    20104 - Transport engineering

Návaznosti výsledku

  • Projekt

  • Návaznosti

    R - Projekt Ramcoveho programu EK

Ostatní

  • Rok uplatnění

    2020

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    2020 Smart City Symposium Prague

  • ISBN

    978-1-7281-6821-0

  • ISSN

  • e-ISSN

  • Počet stran výsledku

    7

  • Strana od-do

  • Název nakladatele

    IEEE Press

  • Místo vydání

    New York

  • Místo konání akce

    Prague

  • Datum konání akce

    25. 6. 2020

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku

    000590471100008