Optimal control of traffic flow based on rough theory and fractal theory
基于粗糙集和分形理论的交通流优化控制设计模型

Accurate and timely prediction of the traffic flow in city is a key factor for traffic control and traffic-induced system. To solve the global optimal controlling problem in traffic flow prediction, we constructed a rule-simplized data-cleaning model by analyzing the real traffic flow based on rough theory, presented a traffic-flow forecasting model according to comparability in fractal theory and designed the corresponding traffic flow net topology and the running mechanism of traffic flow optimal control system. The simulation result shows that the technique is effective.