A study of the road traffic condition identification algorithm based on cloud model

To solve the problem of quantitative and qualitative information exchange in the process of fast and accurate identification on road network traffic status, which is also known as automatic congestion identification (ACI) problem, a recognition algorithm based on cloud mode with three-level road network traffic state is proposed l. This paper focuses on solving several key problems about the concept classification method, such as the design and implementation of peak cloud transform, concept to judge and X-condition cloud generator, etc., based on cloud model and implementing the algorithm. Example shows that the proposed algorithm can realize precise quantitative and qualitative information exchange, and be able to improve the existing ACI algorithms.