Research On Rural Road Network Based On Cluster Analysis Algorithm

The adjustment of highway planning is a problem that every country must face.For our country with vast rural areas,the adjustment of rural route planning is an important step for rural revitalization."If you want to be rich,build roads first" the development of rural roads is crucial to rural people’s livelihood,the economy and other aspects.In the face of the rapid development of modern science and technology,the planning of rural roads is an important step in the fight against poverty.In this system,Android terminal(mobile phone,tablet)is used to complete the collection of information,complete the function of positioning,data transmission.Secondly,cluster analysis and kruskal algorithm are used to establish a mathematical model to analyze the road adjustment scheme.After the simulation test,the optimized scheme is obtained,and the advantages of these algorithms are analyzed by comparing with the existing road network.As for the existing rural road network planning,more forces are needed to complete the planning and design of the road network,and information collection and data analysis are completed with the help of the Internet platform,which is of great help to the existing rural road network.It also helps fill in the gaps in rural road information.This paper realizes the location planning of rural roads with the help of GIS platform,designs the road routes to be developed with the help of clustering analysis and fuzzy boundary algorithm,and completes the corresponding adjustment work.Firstly,the existing map resources,such as baidu map and gaode map,are used for secondary development,with the use of C/S mode,and then some actual data are collected manually to establish a spatial database,which is transferred into the database and sorted out.Use the collected data for analysis.Finally,kruskal algorithm and cluster analysis algorithm can be used to design specific rural road route arrangement,complete the route adjustment under limited resources,save valuable land resources,and ensure the maximum interests of farmers.