Individualized Pedestrian Navigation Using Fuzzy Measures and Integrals

This paper proposes the pedestrian navigation system selecting a route based on users' own preference for routes. The present system consists of a route selection part and a route guidance part. The route selection part selects the route with the highest subjective satisfaction degree which is estimated by a road evaluation model (REM). The REM applies fuzzy measures and integrals to calculate the subjective satisfaction degrees of a road. The route guidance part gives users instructions with linguistic expressions fitting to users' own sensuous feeling of distance (SFD). Experimental results show that the route selected by the present system is preferable to other routes and the REM appropriately reflects users' own preference