Road Networks Global Matching Method Using Analytical Hierarchy Process

Matching and updating rapidly changing road networks attracts much attention.Traditionalalgorithms for road network matching mostly focus on scattered segments matching,leading to poor matching integrity and low matching accuracy.After analyzing road network matching relationships,human cognition of the objective world from global to local was applied to road network matching.The algorithm puts scattered segments together with a Stroke model,and then detects the candidatematching sets by using the relative position of lines and regions,selects matching candidates and guar-antees global matching.In order to solve the uncertainty problem when setting weights in differentsimilar indexes,we analyzed the similar indexes for road network matching using qualitative and quan-titative analysis methods.We assigned weights automatically,based on the analysis of the relationshipbetween different indexes using the decision and thinking as a analytical hierarchy process.Automaticmatching was achieved by the global similarity.Results show that matching efficiency and accuracy aswell as the automation level can be improved by using an analytical hierarchy process.