| With the increase of car ownership and the advancement of new urbanization strategy,traffic congestion has become an important obstacle to urban development.Traffic congestion in cities often occurs at the bottleneck of roads.As a city traffic bottleneck,intersection has the vehicle queuing phenomenon caused by the signal set,and this phenomenon often extended to the import channel of the intersection.Car following and lane changing are two common behaviors of the vehicle running.When cars are running one after another,the lane change behavior becomes lane jump behavior.And lane jump behavior influences the speed of the following car and other cars,brings more unstable factors to the road safety.It is of great significance to analyze the behavior of lane jump in the whole process,and can reduce the bad influences of lane jump behavior and improve the urban traffic environment.The paper divides the lane jump behavior into three stages: decision making,behavior carry out and influence.Then applicate game theory,cellular automata,traffic flow theory and other scientific theory to study and analyze the three stages.Firstly,taking the continuous game between the queue vehicle and the intervening vehicle into account,the relevant model is established by using the evolutionary game theory and verified by the road traffic instance.Secondly,according to the different types of jumping queue in the reality,the paper establishes the cellular automata model of the vehicle jumping process and analyzes the lane changing rules of the cellular automata,then does some computer simulation verification.Finally,the influence towards other vehicles is analyzed at the micro level,and the influence towards the traffic flow is analyzed at the macro level.In addition,combined with the inspiration and reflection in writing the paper,the paper puts forward some suggestions on how to improve the traffic safety of the vehicle in the queue. |