Research On Dual Cruise Control Limit Model Based On Three-phase Traffic Flow Theory

The low efficiency of road traffic caused by traffic congestion has seriously restricted the development of social economy.The research goal of modern traffic flow theory is to establish a traffic flow model which can describe the general characteristics of actual traffic and to find the fundamental laws of traffic flow so as to reveal the mechanism of traffic congestion.Because the three-phase traffic flow theory can explain various practical and complex traffic phenomena,it has become the focus of modern traffic flow theory research.Cellular automata model has the advantages of good parallelism,flexible evolution rules and high computational efficiency.Therefore,this paper establishes a double cruise control limit cellular automata model under the framework of three-phase traffic flow theory.The specific work of this paper is as follows:First of all,this paper introduces the research background,research significance and the necessity of modern traffic flow theory research.Then the basic parameters of traffic flow characteristics and the definition of cellular automata are described respectively,which lays the foundation for the establishment of the model.Next it introduces the fundamental diagram theory and its model,and points out the limitations of the fundamental diagram theory,which laying the groundwork for the introduction of threephase traffic flow theory.Finally,this paper systematically reviews the three-phase traffic flow theory.Secondly,based on the framework of three-phase traffic flow theory,a new double cruise control limit model is built by introducing the slow to start rule into the Na Sch model.Under uniform distribution,dense distribution and random distribution,it is found that there are three states of traffic flow from the fundamental diagram: free flow,synchronized flow and wide moving jam.In addition,the scattered synchronized flow is found for the first time under the dense distribution.The slope of the “linear”synchronized flow depends on the probability of stochastic deceleration.In the extreme case of high stochastic deceleration probability,the percentage ratio curve of vehicle gap in synchronized flow region shows unimodal or bimodal state.Finally,a cellular automata model is established by refining cell size.In the improved model,the length of the vehicle remains unchanged,the length of the cell decreases,and one car occupies multiple cells.Under the uniform distribution and dense distribution,the fundamental diagram results of the simulation also find three kinds of traffic flow states: free flow,synchronized flow and wide moving jam.In addition,it is also found that the phase transition from free flow to synchronized flow and from synchronized flow to wide moving jam.Under uniform distribution,synchronized flows with multiple slopes are found.The density range of vehicles in the synchronized flow region is large,which indicates that the improved double cruise control limit model can restrain the formation of wide moving jam.Under dense distribution,it is found that when the delay probability is very small,free flow,synchronized flow and wide moving jam coexist,or free flow and wide moving jam coexist.When the delay probability is large,the free flow and synchronized flow coexist in the low density region,and the synchronized flow and wide moving jam coexist in the high density region.Figure 47 table 2 reference 90...