Screening and reconstruction of real-time traffic data

The quality of real-time traffic information is of the great importance, therefore the factors having effect on traffic characteristics are analyzed in general, and the necessities of real-time data processing are summarized. The identification and reconstruction of real-time traffic data are analyzed using Kalman filter equation and statistical approach. Four methods for ITS (Intelligent transportation system) detector data screening in traffic management systems are discussed in detail. Meanwhile traffic data examinations are discussed with solutions formulated through analysis, and recommendations are made for information collection and data management in future.