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Evaluation of delay reduction measures in urban railways using data mining technique
Last updated on 01 June 2016 3:23
We can now obtain various kinds of and big volume of data concerning train operation. Analysis of these data is very useful to enhance punctuality and robustness of timetables. On the other hand, because the amount of the data is huge, it is strongly desired to establish an efficient approach...
Author(s):
Yabuki Hideyuki;Uchikoshi Keisuke;Tomii Norio
Organisation(s):
Tokyo Metro Co. Ltd. ; Chiba Institute of Technology ;
2016
Japan
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