Rieko Otsuka
Research and Development Group, Hitachi Ltd., 1-280 Higashi-koigakubo, Kokubunji-shi, Tokyo, Japan
Masao Yamashiro
Research and Development Group, Hitachi Ltd., 1-280 Higashi-koigakubo, Kokubunji-shi, Tokyo, Japan
Itaru Otsuchibashi
Information and Communication Technology Business Division, Hitachi, Ltd., Shinagawa-ku, Tokyo, Japan
Sei Sakairi
Research and Development Center of JR East Group, East Japan Railway Company, Kita-ku, Saitama, Japan
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Published in: RailNorrköping 2019. 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, June 17th – 20th, 2019
Linköping Electronic Conference Proceedings 69:61, p. 950-963
Published: 2019-09-13
ISBN: 978-91-7929-992-7
ISSN: 1650-3686 (print), 1650-3740 (online)
When a train disruption happens, dispatchers should make a train rescheduling plan quickly and manage both trains and crews to reduce serious congestion at disrupted area. Timetable rescheduling is quite domain specific work that requires a lot of experience, knowledge and decisive skills for dispatchers to make an adequate operation plan by taking account of various constraints. Furthermore, in recent years, dispatchers are expected to consider less impact on passengers to improve transport service quality. Thus, workload of train dispatchers become larger year by year. Then we have developed a dispatcher’s decision-making support tool for train rescheduling. Our proposed prototype enables to recommend when and where turn around operations should be performed based on analysis results using historical operated train timetable data.
