Lane-changing model of autonomous vehicle in weaving area of expressway in intelligent and connected mixed environment
In a mixed traffic environment composed of connected and autonomous vehicles(CAV)and human-driven vehicles(HV),a CAV free lane change dynamic control model is proposed to improve the running state of the expressway weaving area.Firstly,by introducing driving style parameters and optimizing HV multi-level lane changing strategy,the HV numerical simulation model of expressway weaving area is constructed,and the constructed model is verified according to different lane changing ratios and lane changing position distribution.Combined with CAV permeability and parameters of lane changing,a CAV dynamic control model of free lane change is proposed.Finally,the influence of CAV dynamic control model on traffic efficiency and safety is analyzed under the condition of CAV permeability random distribution.The results show that the dynamic control model can further improve the traffic efficiency and safety in the weaving area under the condition of low CAV permeability,and the improvement effect of the dynamic control model gradually decreases with the increase of permeability.
traffic engineeringweaving area of expresswaymixed traffic flowlane change modelnumerical simulation
万方数据
维普
