Reasoning-predicting Model based on Strong Relevant Logic in Road Traffic Forecasting

Abstract

Abstract The performance of many components in intelligent transportation systems depends heavily on the quality of traffic forecasting. After analyzing the deficiency of existing algorithm and methods in traffic forecasting, we develop a new traffic forecasting model based on logic reasoning and in this paper, we describe the details of each part of this model. Finally through an example, we introduce the working order of the model in traffic forecasting.