Abstract
In an intelligent transportation management system, usually many algorithms are used to recognize real-time traffic states. Traffic flow data is often compared with a given traffic state classification standard,thus the real-time traffic state will be detected. Using the clustering analysis method, data preparation technology, and traffic engineering technology,this article focuses on the applied research of traffic state classification methods based on collected information from a loop detector system. This traffic state classification method provides a good reference for recognizing real-time traffic conditions for use in transportation management and control.
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