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Train Timetable Evaluation from the Viewpoints of Passengers by Microsimulation of Train Operation and Passenger Flow
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- Kunimatsu Taketoshi
- Railway Technical Research Institute
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- Hirai Chikara
- Railway Technical Research Institute
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- Tomii Norio
- Chiba Institute of Technology
Bibliographic Information
- Other Title
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- マイクロシミュレーションを用いた利用者の視点による列車ダイヤ評価手法
- マイクロシミュレーション オ モチイタ リヨウシャ ノ シテン ニ ヨル レッシャ ダイヤ ヒョウカ シュホウ
- Train timetable evaluation from the viewpoint of passengers by microsimulation of train operation and passenger flow
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Description
In order to evaluate train timetables from passengers' points of view, it is indispensable to estimate the disutilities of passengers. This can be done by estimating the movements of passengers and trains accurately. In particular, when there are many passengers, an interaction between the passengers and trains must be considered. To this end, we have developed a microsimulation system to simulate both train operation and passengers' train choice behavior. The system can simulate train choice behaviors of more than one million passengers as well as their positions in trains. It is possible to estimate the delays caused by congestion in trains as well. The system is based on models of different attitudes of the passengers with respect to the train choice behavior, with includes the choice of the earliest train, transfer avoidance, and congestion avoidance; a passengers' train choice behavior reflects his/her preferences. We applied this system to an actual railway line in a metropolitan area and evaluated two train schedules by calculating the generalized cost that reflects each passenger's disutility in his/her experience. Through the numerical experiments, we have confirmed that the proposed method is very useful for evaluating timetables from passengers' points of view.
Journal
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- IEEJ Transactions on Industry Applications
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IEEJ Transactions on Industry Applications 130 (4), 459-467, 2010
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390282679633988864
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- NII Article ID
- 10026230231
- 210000170385
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- NII Book ID
- AN10012320
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- ISSN
- 13488163
- 15206416
- 09136339
- 04247760
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- NDL BIB ID
- 10649617
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed