An FCD Compensation Model Based on Traffic Condition Trends Matching

Abstract

As an advanced means of collecting information of traffic condition of roads, floating car technology has drawn increasing attention from many countries. Whereas, Floating Car Data (FCD) collected by floating car technology often could not cover all the roads of a city. Therefore, in order to increase the integrality and usability of FCD which reflects the traffic condition of roads, a model based on History FCD (HFCD) is proposed to compensate the information of traffic condition of roads which are not covered by real-time FCD. The model corrects the abnormal data in HFCD and extracts all the changing modes of driving speed of all roads from HFCD, and by matching the changing trend of driving speed in real-time FCD with these modes, the vacant real-time data could be derived. In the end, 20 floating car are arranged to testify the effectiveness of the model, the results shows that the model compensates the vacant real-time data accurately and increases the coverage of road networks.