Research On Traffic Flow Stability Of Vehicles Forced To Change Lanes In Intelligent Network Environment

In recent years,with the continuous expansion of my country’s Internet car technology and the continuous improvement of the level of enterprise automation management,some self-driving vehicles have entered urban roads.It is conceivable that the components of the future transportation system will also change,and urban traffic flow will be It is composed of long-term mixed traffic flow of automatic and manual driving.Therefore,basic research on the new traffic flow of autonomous-manually driven vehicles is particularly important.The main purpose of this paper is to analyze the traffic flow stability of the traffic flow where the vehicle must change to the adjacent lane due to the inability to pass normally in front of the current lane in the mixed traffic flow environment of human-driven vehicles(HDV)and autonomous vehicles(CAV).In this paper,with the help of the cellular automata model,a one-way two-lane HDV-CAV driving mixed traffic flow model is constructed,and then the built model is simulated by MATLAB simulation software,aiming at the stability of the traffic flow in the road HDV-CAV driving mixed traffic.research.(1)In the mixed traffic environment,this paper proposes a forced game lane change model for mixed vehicles and builds a one-way two-lane model.In the case of traffic accident or jam in front of lane 1,the mixed vehicles will change lane to lane 2 according to the lane-changing model;(2)Mixed vehicles run according to the HDV following model and CAV following model in one-way two-lane,and the stability of two-lane traffic flow following is calculated and analyzed according to the instability condition formula F of the following model.At the same time,the stability of two-lane mixed traffic flow before and after lane change is calculated and analyzed according to the instability condition formula FF of mixed traffic flow;(3)MATLAB simulation software was used to output relevant images according to the above calculation results and analyze the stability of two-lane mixed traffic flow and factors influencing the stability region.The simulation results show that: on the one hand,the stability of the mixed traffic flow is affected by the proportion p of vehicles mixed with CAV and the vehicle speed V under equilibrium state,and the stability domain of the mixed traffic flow is small.The increase of the proportion P of vehicles mixed with CAV and the corresponding increase of the equilibrium speed can expand the stability domain of the 2-lane mixed traffic flow;on the other hand,on the mixed road of connected autonomous vehicles(CAVs)and human-driven vehicles(HDVs),the vehicles are forced to change lanes by game.The stability of the mixed traffic flow in the target lane(2 lanes)of the vehicle lane change is affected by the CAV vehicle mixing ratio,vehicle speed and expected headway.At the same time,the research results also show that the feasibility of the vehicle forced game lane changing model in the mixed traffic flow environment is verified within a certain range of mixed CAV vehicle proportion and vehicle speed.As the proportion of networked autonomous vehicles driving on the road continues to increase,the stability domain of mixed traffic flow will gradually expand,and accidents such as vehicle collisions caused by traffic jams and forced lane changes on the road will continue to decrease.Therefore,the increase in the proportion of networked autonomous driving improves the stability of traffic flow and reduces potential dangers in traffic flow.