The combined prediction model on road traffic accidents
Song Cheng-ju · Technology and Economy in Areas of Communications · 2013
It is of the significance for the road traffic to predict the traffic safety situation in the future,and to evaluate the feasibility and implementation of traffic safety measures.Based on the statistics on the road traffic accidents in China,a gray prediction model and a historical sequence fitting analysis method are used to establish the road traffic prediction model.According to the advantages and disadvantages of the two models,the countdown allocation weights method of relative error is added to establish the combined prediction model.The results calculated show that the combined prediction model has higher stability and better prediction accuracy in the traffic prediction,meeting the traffic prediction requirements.