Shigeaki Adachi
Department of Urban Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
Masahito Koresawa
Department of Operation, Tokyo Metro Co., Ltd., Tokyo, Japan
Giancarlos Troncoso Parady
Department of Urban Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
Kiyoshi Takami
Department of Urban Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
Noboru Harata
Department of Urban Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
Ladda ner artikel
Ingår i: RailNorrköping 2019. 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, June 17th – 20th, 2019
Linköping Electronic Conference Proceedings 69:1, s. 15-28
Publicerad: 2019-09-13
ISBN: 978-91-7929-992-7
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
In order to reduce passenger congestion during morning rush hour, railway companies in the Tokyo metropolitan area have increased the number of trains. On the other hand, once a train exceeds a dwell time due to sudden events such as passengers rushing onto a train, passengers agglomerating in specific cars and doors, objects getting caught in doors etc., delays propagate to subsequent trains quickly. To evaluate daily train transport stability and countermeasures against train delays, a train travel time simulation model is needed. However, it has been difficult so far to replicate the occurrence of sudden events and the fluctuations in passenger demand. In this paper, we use detailed data based on dwell time structure and on-site inspections to construct a train travel time simulator. In addition, we evaluate several case-studies of timetable adjustments and passenger demand variations.
Train delay, Train travel time simulation, Ticket gate ingress and egress record data, Smirnoff-Grubbs test, Dwell time
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