Design Of The Traffic Flow In Urban Freeway Based On Cellular Automaton

With the modernization of urban development, urban transportation system faces many serious problems. In this paper, cellular automaton theory is used to model and simulate some complex phenomena and analysis its causes and impact on traffic flow. The main work is simulate the in the classic cellular automaton traffic flow model based on the urban sections of modeling and simulation of traffic flow so that it can better reflect the actual traffic phenomena.The works of this paper include the following aspect:1,The NS-dimensional cellular automaton of a model is improved, a new single-lane cellular automaton model considering the influence of the nearest neighbor vehicle is given. The proposed model can reproduce some complex traffic flow states that have been observed in the real traffic, such as both the maximum flux.2,We will consider the impact of neighboring vehicles and take the safety gear model extended to the two-lane system, The model is studied from the following aspects:1)Compare to the NS model ,the improved model is good at the maximum traffic flow and the critical which are more realistic traffic conditions. 2)The paper analyze and discuss the relevant factors the impact of changes on the model. In this paper, the improved model of stability in the blocked state and the phase change characteristics of traffic is studied.3)To the uncertainty for road leaded by human factors on the actual traffic, we analysis the congestion of traffic flow phenomena through the introduction of the new fuzzy control rules for road in the two-lane model. Simulation results show that the new model in the traffic congestion state changes more realistic than the traditional model of traffic flow phenomena.The above simulation of traffic flow phenomena are more in line with the phenomenon of urban road traffic and provide a theoretical basis for decision-making simulation.