A New Approach to the Weights of Predict Traffic Flow Based on Internet of Things Technology

Abstract

Prediction of traffic flow is an important content of intelligent transportation system and the basic of traffic organization. Due to the poor accuracy of single predicted methods, this paper used Grey relational analysis to determine how important of each predicted methods in combination model. Using test methods to try to get the best weight set. By a case, the conclusion showed this weighted method was very effective.