Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
第48回ISCIE「確率システム理論と応用」国際シンポジウム(2016年11月, 福岡)
Prediction System of Subway Traffic Flow and Appropriate Parameters Shifting
Yutaka KonoKazuyuki Nakamura
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2017 年 2017 巻 p. 168-173

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Japanese railway network especially in metropolitan area has become more complex or overcrowded. Railway companies must recovery stable operations when any accidents or troubles happen in their railway lines. However, computational supports for resolving train rescheduling problems are limited due to complexity of these problems. To make computational supports expanded, it is important to predict the behavior of trains exactly. In this research, we applied a theoretical traffic flow model to a real line in Tokyo. We observe that area of good parameters shifts according to time period or simulated train. Finally we conclude that the relation between given parameters and the accuracy of predictions is so complex that we cannot improve that accuracy only by enlarging the number of cells that are used in the employed Cellular Automata model.

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© 2017 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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