A fuzzy cellular automaton model based on NaSchH model

In this paper, Based on one-dimensional cellular automaton traffic flow model based on NaSch for single lane traffic flow, author propose a new fuzzy control rules based on cellular automata model. And NaSch model, the new model is the probability of random slow calculated according to the fuzzy control rules to the. In the new model of fuzzy control rules, the current vehicles into space and the speed of the vehicle in front of their difference as input factors, the fuzzy reasoning to calculate the current vehicle this time step the random deceleration probability. Through computer simulation found that the new model's basic plan and better space-time map of traffic flow to reproduce the reality of some of the macro-features such as stop-and-go waves, hysteresis and metastability phenomena.