Dealing with bus delay and user history for personalized transportation recommendation

Hiroyuki Nakamura, Hongliang Zhang, Yuan Gao, He Gao, Akifumi Kiyohiro, Tsunenori Mine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A personalized system considering user context and social histories is attractive. We present a personalized transportation system called PATRASH: Personalized Autonomous Transportation recommendation System considering user context and History. PATRASH considers not only users' context and transportation histories, but also real bus delay. The bus delay returned by Bus Delay API (BDAPI) is used for making adjustments of recommended routes. In this paper, we proposes a model for dealing with the bus delay information. We also make confirmation of effectiveness or possibilities of personalized route recommendation based on user context and histories. To this end, we investigated 10 examinees' usage histories of public transportation as a preliminal case study. The preliminal investigation results promise us to predict individual public transportation route.

Original languageEnglish
Title of host publicationProceedings - 2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014
PublisherIEEE Computer Society
Pages410-415
Number of pages6
ISBN (Print)9781479930098
DOIs
Publication statusPublished - Jan 1 2014
Event2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014 - Las Vegas, NV, United States
Duration: Mar 10 2014Mar 13 2014

Publication series

NameProceedings - 2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014
Volume1

Other

Other2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014
CountryUnited States
CityLas Vegas, NV
Period3/10/143/13/14

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics

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  • Cite this

    Nakamura, H., Zhang, H., Gao, Y., Gao, H., Kiyohiro, A., & Mine, T. (2014). Dealing with bus delay and user history for personalized transportation recommendation. In Proceedings - 2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014 (pp. 410-415). [6822144] (Proceedings - 2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/CSCI.2014.74