Modeling car-following behavior in heterogeneous traffic mixing human-driven, automated and connected vehicles: considering multitype vehicle interactions

In this study, a car-following model is put forth to explain the behavior of HDVs (human-driven vehicles), AVs (autonomous vehicles) and CAVs (connected automated in mixed traffic. Based on IDM (intelligent-driver model) molecular dynamic theory, includes velocity surrounding vehicles along with difference headway between each pair vehicles. The drivers’ sensitivity deceleration nearest front vehicle was considered HDV modeling influences various kinds rear were distinguished CAV model. information obtained from real road test HDVs, CAVs, optimum value parameters accuracy verified simulation. results show that simulation for HDVs’, AVs’ CAVs’ under proposed more accurate than IDM, ACC (adaptive cruise control) CACC (cooperative adaptive can be applied simulations traffic, tools concepts nonlinear dynamics especially theory which benefit traffic interaction analysis. addition, study provides valuable suggestions guidance effectively guiding follow improving stability behavior.