  Vehicle-to-vehicle communications can change the driving behavior of drivers
significantly by providing them rich information on downstream traffic flow
conditions. This study seeks to model the varying car-following behaviors
involving connected vehicles and human-driving vehicles in mixed traffic flow.
A revised car-following model is developed using an intelligent driver model
(IDM) to capture drivers' perceptions of their preceding traffic conditions
through vehicle-to-vehicle communications. Stability analysis of the mixed
traffic flow is conducted for a specific case. Numerical results show that the
stable region is apparently enlarged compared with the IDM.
