A Study On The Two-lane Traffic Flow Characteristics With The Influence Of Driver Behavior

With the rapid development of our country’s economy,the increase of national income,car ownership in China also proliferates.But the following traffic problems,such as traffic pollution and traffic accidents,are becoming more and more serious.A large number of studies have shown that drivers are the main factors in the corresponding factors causing traffic problems.Through the study of driver behavior,it not only theoretically promotes the improvement and development of traffic flow theory,but also provides theoretical basis for traffic management in reality.On the basis of fully considering the main factors in the process of driving the vehicle,this paper mainly uses the cellular automata model,establishes the corresponding model,and simulates on the MATLAB simulation platform.Based on the simulation analysis,the driver’s behavior is study in this paper.Firstly,the research background and significance is expounded in the paper.The current domestic and overseas research results are discussed from the aspects of single cellular automata model related with the driver behavior,two-lane cellular automata model related with the driver behavior,and the driver behavior.On the basis of above literature reviews,the research line of this paper is designed.Secondly,the theories related to the research of this topic thesis is briefly introduced,respectively from traffic flow theory,cellular automata theory and driver behavior characteristics,etc.Firstly,some basic conception in the traffic flow theory is introduced,such as,the traffic flow theory and some related parameters.And the existing theories are introduced from the macro,micro and middle perspectives.Then,the existing cellular automata model are divided into four categories,respectively single-lane cellular automata model,two-lane cellular automata model,intersection cellular automata model,and network cellular automata model.Finally,the driver’s driving behavior is introduced,and the behavior characteristics of three processes are analyzed in the perceptive stage,judgment stage and operation stage.Finally,a single-lane cellular automata model and a two-lane cellular automata model is established in the paper.Embarking from the drivers’ driving behavior formation mechanism,the paper analyzes the driving process,considers the basic rule of cellular automaton model,introduces the safety parameters which reflects the driver behavior,set up to the deterministic velocity rules and the random speed rule which relate to the driver behavior.Then single-lane cellular automata model considering the driver’s behavior is established and simulated.Then,on the basis of above single-lane cellular automata model,through considering the drivers’ driving will in the different lane,and analyzing the lane changing behavior,the corresponding lane changing rules is established.On the basis of analysis,the two-lane cellular automata model considering the driver’s behavior is established.Through the simulation analysis of the model,get the corresponding fundamental diagrams and the relationship between the parameters such as security parameters and lane changing times and so on.The influence of different driver behaviors on traffic flow and road traffic safety is also analyzed.The following two conclusions is obtained through the analysis of simulation results: first,under the condition of low density and high density,the influence of different types of drivers to traffic flow is not big.But in the case of medium density,the more aggressive drivers,can obtain higher speed,so as to improve traffic flow.However,aggressive driving behavior will cause greater speed fluctuation,which will lead to greater traffic risk.Second,the driver through the lane changing behavior can improve their speed,also after the lane changing,it will affect other vehicles moving.The impact on the whole traffic system to speed increase is not big,but the corresponding vehicle speed fluctuation of the road system will increase,which will reduce the traffic safety.