Big Data Decision-making Of Intercity Highway Traffic Planning In Mountains Area

Road construction in infrastructure construction is an important part of China’s economic and social sustainable development.In the past few decades,although the road traffic route selection plan has made considerable progress,the road selection route planning method still has problems such as relatively single or incomplete considerations,subjective randomness,and insufficient scientific decision-making.Therefore,based on the decision-making and research of inter-city highway traffic planning in mountainous areas at home and abroad,this paper comprehensively and systematically analyzes and improves the decision-making factors,and studies the access methods and methods of decision-making factors,the importance of the weights of decision-making factors,and the data processing of decision-making factors.and selection of lines based on decision factors based on GIS platforms.This study are beneficial for scientific decision-making in highway route selection planning and economic and social benefits.The main research results of this paper are as follows:(1)Systematically came up with decision-making factors such as natural factors,economic and social factors,cost factors,and ecological factors are systematically proposed.Thirteen sub-factors that can use the GIS platform to make road selection decisions are extracted and based on this.A Hierarchical Structure Model for Inter-city Highway Traffic Planning Decision-making in Mountain Areas.(2)Starting from the idea of big data,the data acquisition methods and methods of 13 decision factors are systematically proposed.(3)Put forward the weight sorting principle for decision factors of highway traffic route selection planning and the ranking results of ecological factors> cost factors>natural factors> economic and social factors.(4)Proposing the method and steps of selecting a line using the GIS platform,and testing the results.