Addressing EU climate targets: Reducing CO2 emissions using cooperative and automated vehicles
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F20%3A00341889" target="_blank" >RIV/68407700:21260/20:00341889 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1016/j.trd.2020.102437" target="_blank" >https://doi.org/10.1016/j.trd.2020.102437</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.trd.2020.102437" target="_blank" >10.1016/j.trd.2020.102437</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Addressing EU climate targets: Reducing CO2 emissions using cooperative and automated vehicles
Popis výsledku v původním jazyce
The European Union (EU) has set rather ambitious goals for reducing emissions and improving related environmental concerns. The majority of EU effort towards reducing emissions is aimed at vehicle manufacturers, mandating development of more efficient engines in order to reduce emissions. We propose a complementary approach to help reach the EU goals. Due to the need for motorists to repeatedly stop and accelerate while driving in urban areas, overall emission rates are observed to be higher in these environments than on open motorways. As a result, management algorithms that focus on harmonising the flow of traffic in urban centres have the potential to greatly reduce urban emission rates. In this paper, we propose a set of functionalities in form of ”use cases” in order to illustrate the inefficiencies of urban traffic flow by utilising cooperation between vehicles and infrastructure. The major contribution of this paper is in addressing the potential positive impact of such measures. The results and the expected effects of the algorithms were determined using a microscopic traffic simulation model. Importantly, this approach also addresses the transition phase, when only a limited number of cooperative and automated vehicles1 (CAVs) will be introduced into traffic, resulting in a mix of automated and non-automated vehicles on the roadways. We demonstrate that introducing CAVs into traffic can lead to significant progress towards EU emissions targets, even for lower penetration levels. According to our models, full use of CAVs on roadways would lead to a CO2 emissions decrease of 10–19%.
Název v anglickém jazyce
Addressing EU climate targets: Reducing CO2 emissions using cooperative and automated vehicles
Popis výsledku anglicky
The European Union (EU) has set rather ambitious goals for reducing emissions and improving related environmental concerns. The majority of EU effort towards reducing emissions is aimed at vehicle manufacturers, mandating development of more efficient engines in order to reduce emissions. We propose a complementary approach to help reach the EU goals. Due to the need for motorists to repeatedly stop and accelerate while driving in urban areas, overall emission rates are observed to be higher in these environments than on open motorways. As a result, management algorithms that focus on harmonising the flow of traffic in urban centres have the potential to greatly reduce urban emission rates. In this paper, we propose a set of functionalities in form of ”use cases” in order to illustrate the inefficiencies of urban traffic flow by utilising cooperation between vehicles and infrastructure. The major contribution of this paper is in addressing the potential positive impact of such measures. The results and the expected effects of the algorithms were determined using a microscopic traffic simulation model. Importantly, this approach also addresses the transition phase, when only a limited number of cooperative and automated vehicles1 (CAVs) will be introduced into traffic, resulting in a mix of automated and non-automated vehicles on the roadways. We demonstrate that introducing CAVs into traffic can lead to significant progress towards EU emissions targets, even for lower penetration levels. According to our models, full use of CAVs on roadways would lead to a CO2 emissions decrease of 10–19%.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
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 periodika
Transportation Research Part D: Transport and Environment
ISSN
1361-9209
e-ISSN
1879-2340
Svazek periodika
2020
Číslo periodika v rámci svazku
86
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
11
Strana od-do
—
Kód UT WoS článku
000569329300007
EID výsledku v databázi Scopus
2-s2.0-85087388879