Synergetic method of traffic state recognition based on manifold learning

To solve the problem on large storage of images in the synergetic recognition, an improved synergetic recognition method based on manifold learning has been proposed in this paper, in which the advantage and feasibility of combining the two methods has been discussed. The geometrical structure in high dimensions can be well maintained by using manifold learning to reduce dimensions while it is somehow innovative to combine synergetic recognition method and the manifold learning method. The traffic state recognition has been realized by adopting Isomap algorithm in this paper, and the results proves that the method has better recognition effects.