Road Traffic Light Pollution Degree Recognition Model Based on AHP-DBSCAN Algorithm

Abstract

Light pollution not only interferes with wildlife migration patterns, but also wastes a lot of energy. However, artificial light has both positive and negative effects, affecting different locations in different ways. In order to solve this problem, this paper uses the light pollution evaluation model to analyze the light pollution problem quantitatively. In this paper, we designed a model to identify the degree of road traffic light pollution based on AHP-DBSCAN algorithm, and analyzed the road traffic light pollution evaluation of the clustered cities by DBSCAN algorithm after the synthesis of four indicators related to road light pollution. The results show that the light pollution risk degree of urban areas > suburban areas > rural areas > protected land. At the same time, light pollution from road traffic in all four different types of areas is increasing year by year.