Correlation Analysis and Data Repair of Loop Data in Urban Expressway based on Co-integration Theory

Abstract

Correlation between road sections has a strong practical significance in traffic raw data repair, precision control and traffic prediction. In this paper, the co-integration theory of econometrics is applied to correlation analysis of the traffic flow parameters series based on loop detection data of Shanghai expressway. Then we establish data repair model according to the plane geometry types of road, based on the correlation between road sections. Experimental instances show that compared with traditional approaches, this method can reduce the error of data repair, and has a good practical prospect.