A Fuzzy Reasoning Approach to Determine Various Optimize Paths between Two Locations on a Transport Network Including Nature's Condition as Factor

In current world of technology, geospatial applications play a significant role in finding route information between source and destination. Various works has been carried out to find optimal path, between two snow covered geographic locations. Other than finding shortest path, several applications have contributed effort on finding optimal path by considering temporal factor such as traffic condition. The traffic of a route depends on certain time slot, events occurring in the city and one important factor is weather condition. . This paper provides an approach to determine optimal path between two locations that considers the current weather condition. One of the important factors is snow falls on the hilly roads due to snowfall, and icebergs. A fuzzy logic based approach has been used to find out severity of the Snow Mountains over the roads. In the proposed approach, a set of paths between two locations is determined using spatial topological reasoning. The optimal path from the available set is determined based on shortest distance and severity of snow density. A case study focused on Himalayan Region of India has been presented to show the efficacy of the proposed approach is determined using spatial topological reasoning.