基于粗糙集和分形理论的交通流优化控制设计模型

为解决交通预测的全局优化控制问题，在运用粗糙集理论对路网节点所测得的历史交通流量进行量化分析的基础上，建立了规则简化的数据清洗模型；基于分形理论的相似性原理建立了交通流量的预测模型，并给出了交通流优化控制系统的运行机制和相应的网络拓扑结构。用某交通观测站的实测数据对模型进行仿真，仿真结果表明，文中所设计的模型和算法是有效的。

Optimal control of traffic flow based on rough theory and fractal theory

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.