A New Method of Traffic Atmosphere Environment Impacts Assessment Based on Kohonen Network

Due to the larger number factors on the quality of the atmosphere, the different contributions of air quality, and the complex mutual influence between factors, it is difficult to establish a recognized, established evaluation model. At present, fuzzy math, grey theory which superior over other evaluation methods have been widely used in practice, but they still have some drawbacks. For a better and more comprehensive evaluation of the factors on the impact of air traffic environment, the air traffic environment impact assessment index system was established. the paper used analytic hierarchy process (AHP) and ultra-multiple method to analyze the various factors which impact the traffic atmospheric environment. It not only considered all factors in the combined effects of weight, but also highlighted the main factors in the evaluation of pollution in the main role-sharing, using arithmetic mean empowering, then based on Kohonen network theory, the paper proposed a new method which evaluating the traffic atmospheric environment. Through introducing the example and analyzing the results of neural networks, fuzzy evaluation, grey evaluation, matter-element model,it shows the new method is easy to use and an reasonable and accurate evaluation of the impact of air traffic environment method.