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