基于粗糙集理论的短时交通流组合预测研究

Research on Combine Prediction of Short-term Traffic Flow Based on Rough Set Theory

为满足交通流诱导系统的理论需要,建立了一种基于粗糙集理论的实时交通流量组合预测模型。通过粗糙集理论来确定组合预测中的权系数,对路段的交通流做出短时预测。结合某路段的实际交通流数据,对预测模型进行仿真训练,经过比较分析,验证了该组合预测模型的有效性和实用性。

To meet the needs of Traffic Flow Guidance System,a real-time traffic flow combined forecasting model based on rough set theory was established.By rough set theory,the weight coefficient of combination forecasting was determined.A combination forecasting modelwas established to make short-term prediction to traffic flow of the section.Combining a section of the actual traffic flow data,simulation training was conducted by the prediction model.Through comparison and analysis,the combination forecasting model was proved to be effective and practical.