TY - JOUR
T1 - Investigating the impact of connected and autonomous vehicles on a grid urban network considering different driving behaviors
AU - Yavuz, M. N.
AU - Özen, H.
N1 - Publisher Copyright:
© 2024, Aracne Editrice. All rights reserved.
PY - 2024
Y1 - 2024
N2 - In recent years, the utilization of intelligent transportation systems (ITS) has been significantly augmented due to advancements in the fields of computer science and information technology. Connected and autonomous vehicle (CAV) technology has gained a significant amount of attention in the research community. The advancements in connected and autonomous vehicle technology are expected to have an influence on the current transportation networks in the near future. The main purpose of this study is to investigate the influence of different driving behaviors of CAVs, namely defensive, normal, and aggressive, on a grid urban network consisting of unsignalized intersections in terms of traffic efficiency, traffic emissions, fuel consumption, and traffic safety by utilizing an open-source simulation tool called SUMO. Three different demand configurations and varying penetration rates of different behaviors for CAVs were taken into account in the scope of this study. According to the findings of the study, while CAVs with defensive behavior lead to an increase in average time loss, CAVs with aggressive behavior reduce the average time loss with increased penetration rates. The reduction in vehicle emissions and fuel consumption is not valid for all driving behaviors of CAVs. It was observed that it depends on the driving behavior of CAVs, penetration rates, and demand configurations. In terms of traffic safety, the worst performance was obtained by CAV-aggressive behavior. Furthermore, it was found that there is a trade-off between traffic efficiency and traffic safety metrics regarding the driving behavior of CAVs.
AB - In recent years, the utilization of intelligent transportation systems (ITS) has been significantly augmented due to advancements in the fields of computer science and information technology. Connected and autonomous vehicle (CAV) technology has gained a significant amount of attention in the research community. The advancements in connected and autonomous vehicle technology are expected to have an influence on the current transportation networks in the near future. The main purpose of this study is to investigate the influence of different driving behaviors of CAVs, namely defensive, normal, and aggressive, on a grid urban network consisting of unsignalized intersections in terms of traffic efficiency, traffic emissions, fuel consumption, and traffic safety by utilizing an open-source simulation tool called SUMO. Three different demand configurations and varying penetration rates of different behaviors for CAVs were taken into account in the scope of this study. According to the findings of the study, while CAVs with defensive behavior lead to an increase in average time loss, CAVs with aggressive behavior reduce the average time loss with increased penetration rates. The reduction in vehicle emissions and fuel consumption is not valid for all driving behaviors of CAVs. It was observed that it depends on the driving behavior of CAVs, penetration rates, and demand configurations. In terms of traffic safety, the worst performance was obtained by CAV-aggressive behavior. Furthermore, it was found that there is a trade-off between traffic efficiency and traffic safety metrics regarding the driving behavior of CAVs.
KW - connected and autonomous vehicles
KW - traffic efficiency
KW - traffic emissions
KW - traffic safety
KW - traffic simulation
UR - http://www.scopus.com/inward/record.url?scp=85201638134&partnerID=8YFLogxK
U2 - 10.53136/979122181262613
DO - 10.53136/979122181262613
M3 - Article
AN - SCOPUS:85201638134
SN - 1824-5463
VL - 63
SP - 191
EP - 206
JO - Advances in Transportation Studies
JF - Advances in Transportation Studies
ER -