Research on Interpolation Method of Missing Traffic Flow Data Based on Improved Historical Trend Method

Traffic flow data is the basis of traffic prediction, traffic behavior analysis, and traffic facility settings and so on. The data integrity of traffic flow data is very important, however, there is a phenomenon of missing data in the data collected by the monitor. In order to solve this problem, based on a variety of imputation methods for missing data, an improved historical trend method (IHTM) using nearest neighbor monitor data is proposed, and compared with a variety of imputation methods, the analysis shows that the method is for traffic flow missing data interpolation The application of the method provides theoretical basis and practical basis.