Ant Colony Optimization approach for solving rolling stock planning for passenger trains

Yasutaka Tsuji, Masahiro Kuroda, Yukiya Kitagawa, Yoshitaka Imoto

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

10 被引用数 (Scopus)

抄録

Railway rolling stock planning is a basic scheduling in railway transport, which assigns physical train units to given time table services and determines a roster of the train units. This planning also involves a scheduling of periodical inspection for the train units. We have proposed an Ant Colony Optimization (ACO) based approach to solve this planning problem. In this paper, local search methods are introduced to enhance the proposed ACO's performance for tackling a large-scale problem. The effectiveness of the enhanced ACO is demonstrated through numerical experiments with instance problems made from real railway lines.

本文言語英語
ホスト出版物のタイトル2012 IEEE/SICE International Symposium on System Integration, SII 2012
ページ716-721
ページ数6
DOI
出版ステータス出版済み - 2012
イベント2012 IEEE/SICE International Symposium on System Integration, SII 2012 - Fukuoka, 日本
継続期間: 12 16 201212 18 2012

出版物シリーズ

名前2012 IEEE/SICE International Symposium on System Integration, SII 2012

その他

その他2012 IEEE/SICE International Symposium on System Integration, SII 2012
Country日本
CityFukuoka
Period12/16/1212/18/12

All Science Journal Classification (ASJC) codes

  • Information Systems

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