Quantify Measure of Beijing Freeway Traffic Status Based on Characteristic Figures

Large amount of real-time data is detected by various instruments and devices from urban roadway traffic systems. Currently, little information has been utilized from the tremendous wealth of information that can be potentially extracted from these data. Thus, it is extremely important and necessary to study how to utilize the information data resource. This paper presents a quantify measure model of traffic status according to a characteristic figure, which is based on the analysis of RTMS real-time data of Beijing freeway and traffic flow theory and statistics analysis method. The model was used in traffic characteristic analysis of the Second Ring Road, the Third Ring Road and the Fourth Ring Road of Beijing, and some significant performance measures have been achieved. On the other hand, multi-component Gauss mixture models were used for the estimation of the distribution of traffic flow parameters and the distribution parameters were estimated by the EM algorithm. The authors also validate the rationality and reliability of these performance measures.