2022 Volume 77 Issue 5 Pages I_675-I_685
With the development of automatic driving technology, the controllability of vehicle behavior has increased, and clarifying the relationship between the vehicle behavior characteristics of individual vehicles and the turbulence of traffic flow may contribute to the realization of safe and smooth traffic flow. In the research on car-following behavior, which is the most basic behavior among vehicle behaviors, there have been many studies on the construction and estimation of car-following models, but few studies have estimated individual car-following models under various traffic conditions and clarified car-following behavior characteristics. In this study, we estimated individual ca-following models, showed the diversity of car-following behavior, and attempted to analyze the relationship between speed reduction and carfollowing behavior characteristics. The individual car-following model estimated using continuous vehicle trajectory data from image observation was typified by cluster analysis of estimated parameters. In addition, by extracting the vehicles that experienced a speed reduction event in a group of vehicles, we analyzed the relationship between the typology of the car-following behavior characteristics and speed reduction. The findings suggest that there is diversity in car-following behavior in both low-speed and high-speed environments, and that certain car-following behavior characteristics may contribute to or reduce speed reduction.
