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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

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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.

Metadaten
Titel
Study on Mobile Passenger Support Systems for Public Transportation Using Multi-channel Data Dissemination
verfasst von
Koichi Goto
Yahiko Kambayashi
Copyright-Jahr
2002
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/3-540-45636-8_25

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