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