数据融合技术在短时交通流预测中的应用

Application of Fusion Data Technology in Short-term Traffic Flow Forecasting

提出了短时交通流预测的时间间隔长度,介绍了常用短时交通流预测方法。结合数据融合技术,明确了短时交通流预测的改进方向之一,即模型选择、模型组合,并给出了短时交通流预测的数据融合算例。

This paper demonstrates the time interval length of short-term traffic flow forecasting and conducts the literature review of the commonly used short-term traffic flow forecasting methods. Combined with the data fusion technology, this paper points out one research orientation of forecas- ting short-term traffic flow, namely, model selection and model portfolio. Finally, some data fusion examples of short-term traffic flow forecasting are provided.