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Committee Date Time Place Paper Title / Authors Abstract Paper #
DC 2019-12-20
15:15		 Wakayama   Classification of railway stop positions by machine learning using on-board equipment accumulated data
Naohiro Morishima, Ryota kouduki, Tomoki Kobayashi, Yukiko Sugimoto (Kyosan), Takeshi Mizuma, Upvinder Singh Upvinder, Shiva Krishna Maheshuni (The University of Tokyo) DC2019-82		 In recent years, the development of AI technology has been remarkable. Analysis using machine learning is attracting att... [more] DC2019-82
pp.21-23
SSS 2017-06-20
15:10		 Tokyo   A study of train control system for local railways
Yoichi Sugiyama, Natsuki Terada, Kazuki Nakamura (R.T.R.I.), Satoru Kishimoto, Muneyuki Harada, Masako Hisanaga (JR Kyushu), Kazutoshi Sato, Keisuke Yoshinari (Nippon Signal) SSS2017-10		 It is necessary to suppress the cost by making the train control system simple at the local railway lines of a little tr... [more] SSS2017-10
pp.15-18
ITS, IEE-ITS 2011-03-11
14:40		 Kyoto   A System Which Forecasts the Spatio-Temporal Distribution of Pedestrians -- On Feasibility Study --
Mikio Sasaki (DENSO) ITS2010-76		 A system which forecasts the appearance of pedestrians within the specified area and the specified time is proposed. Thi... [more] ITS2010-76
pp.53-58
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