Stability and Safety Analysis of Mixed Traffic Flow Considering Multiple Preceding and Following Vehicles
To reveal the impact of information from multiple preceding and following vehicles on the stability and safety of complex mixed traffic flow,this paper constructs a car-following model for connected autonomous vehicles(CAVs)and connected human-driven vehicles(CHVs)that considers information from multiple preceding and following vehicles.The model is used to study the stability and safety of complex mixed traffic flow composed of human-driven vehicles(HDVs),autonomous vehicles(AVs),CAVs,and CHVs.Firstly,a complex mixed traffic flow model considering information from multiple preceding and following vehicles is established,and all car-following modes as well as the proportional relationships among the four types of vehicles are analyzed.Secondly,the stability criteria for complex mixed traffic flow under different penetration rates of connected vehicles are theoretically analyzed.Finally,a numerical experiment is designed to analyze the influence of connected vehicle penetration rate and information from multiple preceding and following vehicles on the stability and safety of complex mixed traffic flow.The simulation results indicate that higher penetration rates of CAVs and CHVs contribute to the stability of complex mixed traffic flow,with CHVs exhibiting a more significant improvement effect than CAVs.Furthermore,considering information from multiple preceding and following vehicles has a greater impact on improving the stability and safety of complex mixed traffic flow compared to only considering information from immediately adjacent vehicles.Specifically,considering information from the two immediately preceding and following vehicles yields the best improvement in the stability and safety of complex mixed traffic flow.
intelligent transportationstabilitynumerical simulationcomplex mixed traffic flowtraffic safetymultiple preceding and following vehicles
万方数据
维普
