Designing and Developing Spatial Experiences Ontology for Urban Rout Finding

Abstract- Spatial experience is the ability of comprehending relation between real world’s objects, spaces and areas and can be acquired after several years of learning and experience by the expert persons. This experience leads to generating spatial knowledge and can be helpful in making high accuracy, realistic and in accordance with reality decisions. Therefore, using some methods for storing and reusing this experiment and preventing the exit of experiences from organizations is necessary. In this research, different experience modeling methods such as semantic networks, rules, logic and ontology are investigated and due to the advantages of ontology method in comparison with other methods, this modeling method is chosen for proposing an algorithm for storing spatial experiences in urban route finding. In this regard, first, an ontology model is created with the taxi routes in Tehran city. Then, this ontology model is used for route finding and its results compared with Dikjestra’s algorithm at peak traffic times. The results show that although the route lengths of ontology based route finding algorithm are longer than route lengths of Dikjestra’s algorithm but its travel times are lower and in some routes the difference between travel times reaches to 10 minutes.