Ontology driven road network analysis based on analytical network process technique

Abstract

During the past several years, Geographic information system (GIS) has allowed storage, editing, maintenance, dissemination, display and access of geospatial data. Ontologies are a level of description of the knowledge of an application that is independent of internal structure. Existing techniques related to the impedance model for each road segment which is utilized in a route finding algorithm is inadequate. The most impedance models are based on one-dimensional criterion such as distance or time which does not give proper results. Hence, this research investigates how impedance criteria of road segment can represent the real world in GIS using ontology driven architecture. To address this, first several criteria including quantitative as well as qualitative criteria such as traffic and climate are taken into account. Second, to weight these criteria, the Analytical Network Process (ANP) method is proposed. Finally, the impedance model is implemented and verified with real road network data.