Quarterly Report of RTRI
Online ISSN : 1880-1765
Print ISSN : 0033-9008
ISSN-L : 0033-9008
PAPERS
Application of Rule Mining Technology for Train-order Rescheduling
Takashi SAKAGUCHIKeisuke SATO
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2019 Volume 60 Issue 3 Pages 172-177

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Abstract

One of the technical problems encountered when dispatching trains using computation is how to reflect all the conditions or criteria that influence a decision that form part of the tacit knowledge that train dispatchers have acquired from experience in conventional rescheduling systems. A method has been developed from operation performance records, to generate decisions that would have been made by dispatchers with a high probability under specific conditions, namely operational dispatching rules (ODRs). A train rescheduling algorithm was created based on the mechanisms related to ODRs and its validity by comparing actual operation planning results with computed outputs.

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© 2019 by Railway Technical Research Institute
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