泛布尔代数在智能交通系统中的数据挖掘研究

Application of fan boolean algebraalgorithm for data mining

针对城市交通控制系统实时性要求,提出用基于泛布尔代数的数据挖掘技术来作为智能交通系统的数据分析和数据解释方法,以解决其建模和模型求解的问题.根据城市单个交叉口的交通流,利用这种新的数据挖掘技术的初步分析结果,选择采用多相位实时控制策略;对提取的决策规则,建立起决策系统的泛布尔模型.

Aim to the real-time necessity of the controlling of traffic system, proposes utilizing a new Data Mining technology based on Fan Boolean Algebra as the way of explaining the data and analyses data in the intellectual traffic system, so as to solve the problem of explaining the data and analyses data in the traffic system. In the article aim against the traffic flow of the single crossing of the city, utilize the preliminary analysis result of such new data mining technology; choose to adopt the real-time control strategy of multiphase; to the decision rule that is drawn, set up systematical decision model of Fan Boolean Algebra.