Railway Network Timetabling for Reducing Transfer Time Using Genetic Algorithm
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概要
- 論文の詳細を見る
Consideration of passengers transfer behavior is an important factor in railway service design. This paper proposes a new method for constructing railway network timetables in order to reduce transfer time. Firstly, an estimation method of the number of transfer passengers is proposed on the basis of a passenger behavior assumption of minimum travel time. Secondly, construction of railway network timetable is formulated as a nonlinear optimization problem. Thirdly, a genetic algorithm has been applied to solve the optimization problem, because its size for a practical problem is very large in terms of the number of variables. Finally, the effectiveness of the proposed method has been verified through typical examples.
- 社団法人 電気学会の論文
- 2000-06-01
著者
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KOSEKI Takafumi
The University of Tokyo
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Sone Satoru
The University Of Tokyo
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YANG Zhongping
The University of Tokyo
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