This research aims to model system dynamics for mixed traffic flow consisting of Connected and Automated Vehicles (CAVs) and Human-driven Vehicles (HVs). It quantifies the impact of CAVs’ speed change on the overall traffic state. The model describes the impedance of CAVs’ speed reduction on traffic flow and considers the impact of potential additional lane change induced by the speed reduction. To validate the effectiveness of the proposed model, a VISSIM based microscopic simulation evaluation is performed. The results confirm that the accuracy of the proposed model is over 80%. Sensitivity analysis is conducted in terms of various CAV penetration rates and v/c ratio levels. The proposed model demonstrates a consistent performance across all CAV penetration rates when the v/c ratio is above 0.1. The proposed model could serve as the foundation of CAV based traffic management applications, such as variable speed limit and speed harmonization.

CICTP