Study on Real-time Traffic Data Modification Method Based on the Improved Etkin Interpolation Algorithm

Identification and modification of real-time traffic data has been the basic and critical part in the intelligent transportation system. Through the research to a large number of data, the original data is divided into the correct data, the irregular time-point data, inaccurate detection data, missing data and event data. Etkin interpolation algorithm is to gain the values of specified missing value by a successive approximation method with high order polynomial and implemented by using a successive approximation of multiple linear combinations. The paper selects improved Etkin interpolation algorithm to correct the traffic data and makes use of the DongZhiMen Bridge North 728 meters' 2001 detector data for example. The algorithm not only considers the practicability in the engineering practice, but also improves the accuracy of real-time data.