Traffic condition recognition of probability neural network based on floating car data

Abstract

A traffic condition recognition method based on floating car data was proposed by analyzing Probability Neural Network (PNN) and Global K-means algorithm. The related factors of traffic condition and the collection method of floating car data were presented. A probability neural network classifier was designed using Global K-means algorithm and applied to the recognition of traffic condition with floating car data. The experiment results showed that the method could recognize traffic condition well. The accurate rate is satisfactory. © 2009 Springer Berlin Heidelberg.