Modeling and managing airport passenger flow under uncertainty: A case of fukuoka airport in Japan

Hiroaki Yamada, Kotaro Ohori, Tadashige Iwao, Akifumi Kira, Naoyuki Kamiyama, Hiroaki Yoshida, Hirokazu Anai

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

6 被引用数 (Scopus)

抄録

Airport terminal decision makers in recent years need to deal with unexpected and sudden congestion situations. Although various types of mathematical researchs has analyzed the congestion situations and have succeed to manage a subsystem, they cannot sufficiently describe the variety of phenomena observed in a real airport terminal, because they have not considered the interactions between subsystems of the real airport terminal. A simulation approach enables us to describe the interactions between facilities and passenger behavior in detail as a whole airport system and to find various types of possible congestion situations. The simulation approach, however, cannot directly lead exact prediction that can be useful in practical management and operation for difficulties of modeling a complex airport terminal system and acquiring complete input data. In this paper, (1) we modeled Fukuoka airport international terminal in Japan as Complex Adaptive System and built a passenger flow simulation based on the Discrete Event Model. Validity of the model was confirmed by experiments. Moreover, (2) we confirmed that it is possible to acquire simulation input data from discussing with stakeholders using the simulation. Therefore, we believe that it is possible to reduce uncertainty of the model systematically by continuing modeling, predicting, and discussing with stakeholders, repeatedly.

本文言語英語
ホスト出版物のタイトルSocial Informatics - 9th International Conference, SocInfo 2017, Proceedings
編集者Giovanni Luca Ciampaglia, Taha Yasseri, Afra Mashhadi
出版社Springer Verlag
ページ419-430
ページ数12
ISBN(印刷版)9783319672557
DOI
出版ステータス出版済み - 2017
イベント9th International Conference on Social Informatics, SocInfo 2017 - Oxford, 英国
継続期間: 9月 13 20179月 15 2017

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10540 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他9th International Conference on Social Informatics, SocInfo 2017
国/地域英国
CityOxford
Period9/13/179/15/17

!!!All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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