Three-Variable Probability Model for Traffic Status Identification

X.X. Weng and Y.F. Cai (PR China)

Keywords

Data Modelling, Traffic State Identification, Three Dimensional Model of Traffic Flow, Probability Model

Abstract

The characteristic of the real-time traffic status in road network is an important foundation for traffic organization and management. In this paper, a three variable probability model was developed to identify the real-time traffic status. With the three-dimensional relationship of flow, speed and occupancy, a complete three-dimensional traffic model was shown. Then we use probability method to determine the state of the data collected. The method is easy to understand and only a few calculations were needed. It helps to identify the real time traffic status conveniently.

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