Recurrent city traffic congestion propagation analysis

Abstract

In order to analyze the traffic congestion of urban road network, the data preprocessing method is improved, and the three-dimensional spatio-temporal state data is transformed into one-dimensional data, and the spatio-temporal constraint is added on the basis of FP-Growth algorithm to achieve more efficient mining congestion propagation law. The purpose of this paper is to study the traffic congestion propagation law in the morning and evening peaks of the working day and all day and rest days through two experiments, and obtain the traffic congestion propagation law in working days and rest days. The research results show that using the urban road network traffic state data, the analysis method of this paper can more effectively mine the propagation law of recurrent traffic congestion.