Journal Search Engine
The Journal of The Korea Institute of Intelligent Transport Systems Vol.24 No.6 pp.244-256
자율주행 혼재 교통류에서 행태적 요인의 안전성 영향
Safety Impact of Behavioral Factors in Mixed Autonomous Traffic
Abstract
The introduction of autonomous vehicles is expected to alter existing traffic environments due to behavioral differences between conventional and autonomous vehicles. However, previous studies have rarely incorporated realistic factors—such as driver behavior and vehicle type composition— when analyzing traffic impacts under mixed autonomy conditions. To address this limitation, this study conducted simulations that considered varying market penetration rates of autonomous vehicles, diverse driving behavior profiles, and heterogeneous vehicle types. The results indicate that an increased share of autonomous vehicles does not necessarily improve traffic safety; rather, interaction effects in mixed traffic can elevate collision risks during transitional phases. In the early adoption stage, safety may deteriorate due to interactions with conventional vehicles, whereas traffic efficiency and stability tend to improve as technology matures and autonomous vehicle prevalence becomes sufficiently high. This study provides important implications for policy and technology development related to autonomous vehicle deployment and highlights the need for future research incorporating diverse traffic environments and real-world data.
