A Route Recommendation System for Sightseeing with Network Optimization and Conditional Probability

Takashi Hasuike, Hideki Katagiri, Hiroe Tsubaki, Hiroshi Tsuda

    研究成果

    8 被引用数 (Scopus)

    抄録

    This paper proposes a route recommendation system for sightseeing based on a network optimization problem. Traveling and sightseeing times are randomly changed dependent on current traffic and congestion conditions, and hence, Time-Expanded Network (TEN) to contain a copy to the set of nodes in the underlying static network for each discrete time step is introduced. In addition, in order to select the next sightseeing site, conditional probabilities are introduced, which are calculated by current conditions, statistical and Web data. Our proposed model is formulated as a nonlinear and discrete optimization problem, and it is hard to solve it directly and efficiently. Therefore, an efficient algorithm is also developed based on dynamic programming and transformation of the main problem into the recursive equation.

    本文言語English
    ホスト出版物のタイトルProceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ2672-2677
    ページ数6
    ISBN(印刷版)9781479986965
    DOI
    出版ステータスPublished - 2016 1 12
    イベントIEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 - Kowloon Tong, Hong Kong
    継続期間: 2015 10 92015 10 12

    Other

    OtherIEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
    国/地域Hong Kong
    CityKowloon Tong
    Period15/10/915/10/12

    ASJC Scopus subject areas

    • 人工知能
    • コンピュータ ネットワークおよび通信
    • エネルギー工学および電力技術
    • 情報システムおよび情報管理
    • 制御およびシステム工学

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