Improved Modification Method of Missing Data for Location-specific Detector

Abstract:

Based on the temporal and spatial correlation of detector data, the explanatory variables were dynamically selected for data repair model, and an improved modification method of missing data was proposed considering periodic trend and real-time variability comprehensively. The proposed method was assessed with the data of locationspecific detectors in Shanghai, China. Compared with support vector regression(SVR) model, the mean absolute error of three detectors are reduced by 3.80%, 3.40%, 25.23%, and the mean absolute percentage error is less than 6% under different data missing conditions.