Continuous Cellular Automaton Based On Multi-vehicle Information Traffic Flow Model

With the rapid development of economy and technology,people's demand for transportation has also increased significantly.At present,China's annual motor vehicle production still maintains a relatively high growth.Although the scale of the city's road network is also greatly improved,it still undertakes Traffic pressure,and the interaction between vehicles also increases the complexity of road traffic,and then comes the problems of traffic congestion and traffic pollution,so how to effectively solve the actual road traffic problems is what we need to study.The car-following model has certain advantages in studying the interaction between vehicles,and can also provide some experience for future intelligent transportation research.As a scientific and reasonable microscopic traffic flow simulation model,the cellular automaton model is the key to the study of traffic control methods,and the changes of vehicle dynamic details simulated by the simulation are also very intuitive.Therefore,this article starts with the car following model and combines the actual road rules to establish a continuous cellular automaton traffic flow model,which can show the original discrete characteristics continuously.The main work of the paper is:(1)By sorting out the past optimized speed car following models and combining the thoughts of the researched front and rear multi-vehicle models,a car following model based on multi-car information is proposed.The vehicle can adjust its own state according to the obtained information Driving in excellent condition.As an optimized speed model,the following model in this paper considers the two factors of the optimal speed and the optimal speed difference between the front and rear multi-vehicles.The actual parameters are used to calibrate the model to ensure the rationality and practicality of the model.Use MATLAB to simulate the starting and braking process of the model,and compare it with the BLVD model to verify the actual effect of the traffic flow characteristics of the new model.Then the stability analysis of the model is carried out as a research condition for the stability of the following model to explore the stability region of the model and the recovery ability after being disturbed.The comprehensive results show that the following model based on multi-vehicle information can accurately describe the vehicle's As the details change,the model as a whole conforms to actual traffic conditions.(2)Based on the car following model in the previous chapter,a single-lane continuous cellular automaton traffic flow model is established.The vehicle changes state according to the car following rules,and the traffic flow characteristics of the model are compared by different car entering probabilities.According to the simulation results The spatio-temporal graph can see the dynamic changes of each vehicle at every moment,and finally simulate the relationship between the calculated speed-density,flow-density,and speed-flow to verify the rationality of the established cellular automaton model On the other hand,it proves that the continuous cellular automaton model has certain advantages in studying the characteristics of traffic flow.(3)According to the actual situation of the road,on the basis of the single-lane cellular automaton model,the following rules and lane-changing rules are combined to establish a two-lane continuous cellular automaton model,and the simulation model uses periodic boundary conditions,Comparing the traffic flow changes of two lanes and the lane changing behavior of vehicles under different densities,the time-space graph of the simulation results can clearly see the delay of the system speed caused by the lane change of the vehicle,and compare the two single lanes and The speed-density relationship of the system is used to explore the driving situation of vehicles in a twolane environment.The simulation results show that the model is reasonable.In summary,the study of traffic flow models is inseparable from the actual road conditions.Whether it is a car following model or a cellular automaton model,it is necessary to consider the actual situation,and the rationality of the model needs to be studied through simulation comparison in order to solve More road traffic problems.