Traffic Flow Simulation Based On Adaptive Agent

this paper describes the driver's vehicle behavior as the response of an intelligent body according to the environment and situation, and describes the characteristics of macro-traffic flow through the response of each independent intelligent body, providing a basis for intelligent driving and intelligent control. First, the adaptability description is carried out with the behavior of single-lane vehicles. Three driving states are defined and their driving behaviors and decision making rules are analyzed based on the driver's expectation objectives. The simulation is realized by using the mathematical description the Boid model method of Couzin et al.([6][7][8]). The simulation results show that the behavior change of the individual adaptive driving vehicle is completely consistent with the characteristics of the macro-traffic flow, and the cooperative characteristics of the group intelligence are presented. Individual driving vehicles show good adaptability and self-drive to the change of environment and current traffic condition. The change of individual driving behavior of the vehicle will have an impact on the adjacent local vehicle individuals. The change of traffic density affects the speed of traffic flow. Bad driving behavior will affect the speed of local or even the whole traffic flow on the road, which will lead to the closing and splitting of the vehicle queue. In serious cases, the vehicle queue will stop and stop, leading to the decrease of the road capacity.