抄録
This paper describes the pedestrian navigation method reflecting individual preference for route selection. The presented method selects the route with the highest subjective satisfaction degree which is 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 input to the RSEM is a set of road attributes expressing subjective impression of a road. The collaborative filtering method is applied to the acquisition of road impressions evaluated by other users is proposed. Experimental results imply that almost the same satisfaction degrees as the ones for routes selected using questionnaire data by subjects own are obtained even if the road impressions are acquired by estimation using other users' evaluation.
