An Improved Double-layer K-nearest Neighbor Nonparametric Regression Method for Short-time Traffic Flow Prediction
Abstract: In combination with
the repeatability of the traffic flow state patterns, this article improved the
knearest neighbor non-parametric regression method. To be specific, the
neighbors were screened twice and the function based on state pattern
recognition was introduced; moreover, the traffic flows in the pasttime and the
traffic flows towards the related directions at both upstream and downstream
crossroads were taken into account, so that the predictive ability of the
proposed k-nearest neighbor non-parametricregression method can be improved. In
addition, the final prediction results were output using the weighted average
method of the reciprocal of the state pattern vector matching distance, so as
to enhance the accuracy and real-time performance of the short-term traffic
flow prediction.
Author: Wang Cheng
Journal Code: jptkomputergg160101
