Addressing EU climate targets: Reducing CO2 emissions using cooperative and automated vehicles. (September 2020)
- Record Type:
- Journal Article
- Title:
- Addressing EU climate targets: Reducing CO2 emissions using cooperative and automated vehicles. (September 2020)
- Main Title:
- Addressing EU climate targets: Reducing CO2 emissions using cooperative and automated vehicles
- Authors:
- Pribyl, Ondrej
Blokpoel, Robbin
Matowicki, Michal - Abstract:
- Highlights: Traffic management requires changes to use full potential of CAV vehicles. Impact of new CAV functions is determined using traffic microscopic simulation. CAVs properly integrated in traffic management can reduce CO2 emissions by 10–19 Positive impact of CAVs is significant already for the transition phase. Abstract: 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 theHighlights: Traffic management requires changes to use full potential of CAV vehicles. Impact of new CAV functions is determined using traffic microscopic simulation. CAVs properly integrated in traffic management can reduce CO2 emissions by 10–19 Positive impact of CAVs is significant already for the transition phase. Abstract: 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 vehicles 1 (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%. … (more)
- Is Part Of:
- Transportation research. Volume 86(2020)
- Journal:
- Transportation research
- Issue:
- Volume 86(2020)
- Issue Display:
- Volume 86, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 86
- Issue:
- 2020
- Issue Sort Value:
- 2020-0086-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-09
- Subjects:
- CAVs -- Automated vehicles -- Traffic control -- Impact -- Emissions
Transportation -- Research -- Periodicals
Transportation -- Environmental aspects -- Periodicals
354.76 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13619209 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.trd.2020.102437 ↗
- Languages:
- English
- ISSNs:
- 1361-9209
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9026.274630
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20955.xml