Individualized Route Selection for Pedestrian Using Fuzzy Measures and Integrals

This paper proposes the pedestrian navigation system selecting a route based on not only the distance of a route but also users´ own preference for routes. The present system selects the circuitous routes if they are preferable to a shortest route. 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 are estimated by a road satisfaction degree evaluation model (RSEM). The RSEM 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 routes selected by the present system is preferable to other routes although the former routes are longer than the latter ones.