A Flexible Framework of Modeling Spatial Relations in User-centered Transport Systems using Customized Fuzzy Region Connected Calculus

Spatial relevancy between the moving car and Points of Interest (POIs) in an urban traffic network is one of the important parameters which determine the relevancy of objects to the moving user. This paper introduces a flexible framework using fuzzification of spatial relationships. The objective of this approach is the determination of a model which is sensitive to the position, direction and velocity of the moving user based on fuzzy customized RCC. The proposed approach is implemented in a scenario of tourist in regions 3, 6 and 11. The tourist is guided from hotel/the origin to the POIs/destination. The experimental results demonstrated the efficiency of the algorithms based on the accuracy and satisfaction of the user.This paper has presented a Fuzzy Spatial Relevancy Algorithm for user-centered systems that guarantees the adaptation of the guiding navigation applications to new spatial contexts.    Adaptation of the application to the user context is based on the Voronoi-based Continuous Range Query and Fuzzy RCC with five main spatial relationships. In this way, this paper innovated model for spatial relevancy, which is sensitive to the position and direction of moving user with three contributions:(1) definition of fuzzy spatial regions for the user and his/her preferred entities, (2) customization of RCC8 relationships for urban user-centered wayfinding systems and (3) implementation of the proposed model for a scenario of a tourist wayfinder with two enhancing operators and evaluation of the algorithm. In this research the tourist guide is equipped with a PDA or Laptop system and a tool for positioning system like GPS. The tourist could execute this program in his/her device and receive the expected context-aware service conveniently. The experimental results show that the proposed approach could detect spatial relevant contexts at the right position at the right time with a high level of satisfaction.