Impact of Autonomous Vehicles on Traffic Efficiency and Emissions at a Freeway Off-Ramp
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Dosyalar
Tarih
2023 Aralık
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Selçuk Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In the last few years, autonomous vehicle technology has become increasingly popular in both the
academic and private sectors due to its potential to change the existing transportation networks.
The aim of this study is to investigate the impact of autonomous vehicles in terms of traffic
efficiency and emissions over a hypothetical freeway network with an off-ramp. To this end, an
open-source simulation tool, Eclipse SUMO, is utilized, considering the varying traffic demand
levels and penetration rates of AVs. Total travel time is used as an indicator of traffic efficiency.
Also, traffic emissions (CO, HC, and NOx) are utilized as comparison outputs. As a result of this
study, AVs provide improvements in traffic efficiency. When the volume of traffic reaches the
capacity of the road, this beneficial effect becomes more obvious. However, the increase in
penetration rate of AVs when traffic volume reaches the capacity of the road leads to more traffic
emissions.
Açıklama
Anahtar Kelimeler
Intelligent transportation systems, Autonomous vehicles, Micro-simulation, Traffic efficiency, Traffic emission
Kaynak
Selcuk University Journal of Engineering Sciences
WoS Q Değeri
Scopus Q Değeri
Cilt
22
Sayı
3
Künye
Yavuz, M. N., Özen, H., (2023). Impact of Autonomous Vehicles on Traffic Efficiency and Emissions at a Freeway Off-Ramp. Selcuk University Journal of Engineering Sciences, 22(3), 110-115.
