Analysis and Optimization of Statistical Data in Beijing for Traffic Information Services

In recent years, requirements for high quality traffic information services increase rapidly. Statistical data based on history traffic data can be used as a helpful compensation for real time data to improve the quality of information services. Therefore the methods of analyzing and optimizing statistical data for different cities become very important. This paper introduces some ideas for making the statistical traffic data more accurate and proposes new evaluation model to make the experimental results more understandable and reasonable. Then based on two months history data of probe car system, the paper gives analytical results of statistical data in Beijing.