2002 | OriginalPaper | Buchkapitel
Study on Mobile Passenger Support Systems for Public Transportation Using Multi-channel Data Dissemination
verfasst von : Koichi Goto, Yahiko Kambayashi
Erschienen in: Digital Cities II: Computational and Sociological Approaches
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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We have been developing mobile passenger support systems for the public transportation. In this application field, various kinds of data must be handled and integrated. Examples of such data are route information, fare information, area map, station map, planned operation schedule, real-time operation schedule, vehicle facilities and so on. Depending on the user situation, different information should be supplied and personalized. In this paper we propose the human support system used in the multi-channel data dissemination environments. On the other hand, the transportation systems can gather information about situations and demands of users and modify their services for users. In this paper we will discuss efficient methods to handle dynamic integration, personalization and filtering using multiple data dissemination channels and on-demand data channels. Current prototype system developed to be used visually handicapped passengers is also shown.