Kalman滤波理论在短时交通预测上的应用

Application of Kalman filtering theory on prediction of short-term traffic volume

介绍了基于Kalman滤波理论的短时段交通量预测模型,并利用京沪高公路和南京禄口机场高速公路所采集的数据进行了仿真预测.预测结果表明Kalman滤波预测方法对各种状态交通流有较好的适应性,具有较高的预测精度.

This paper introduces the short-term prediction model of the traffic volume through Kalman Filtering Theory, and makes use of those data, which were sampled from the BeijingShanghai freeway and the Nanjing Lukou Airport freeway to emulate and to predict. The results from prediction showed that the method based on Kalman Filtering Theory has better adaptability to kinds of traffic volume, and somewhat accuracy.