Identification method of traffic state based on cloud theory

Traffic state identification is a key technology of dynamic guidance system. In view of the fuzziness and randomness of traffic state, this paper develops an algorithm of traffic state identification based on cloud theory. According to synthesized cloud theory, the synthesized evaluation cloud model is established by integrating clouds of different evaluation factors. Using x condition cloud generator and maximal decision method, the synthesized identified cloud model is built. Finally, the cloud similarity between the synthesized evaluation cloud and the synthesized identified cloud decides the identification results. The experiment results show that it is feasible and can be easily implemented.