• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 55 Issue 5
Oct.  2020
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Article Contents
JIN Hua, CHEN Shaokuan, LIU Shuang, LIU Gehui. Integrated Optimum Crew Planning in Fixed Shift System for Subways[J]. Journal of Southwest Jiaotong University, 2020, 55(5): 955-962. doi: 10.3969/j.issn.0258-2724.20190952
Citation: JIN Hua, CHEN Shaokuan, LIU Shuang, LIU Gehui. Integrated Optimum Crew Planning in Fixed Shift System for Subways[J]. Journal of Southwest Jiaotong University, 2020, 55(5): 955-962. doi: 10.3969/j.issn.0258-2724.20190952

Integrated Optimum Crew Planning in Fixed Shift System for Subways

doi: 10.3969/j.issn.0258-2724.20190952
  • Received Date: 08 Oct 2019
  • Rev Recd Date: 06 Mar 2020
  • Available Online: 09 Mar 2020
  • Publish Date: 01 Oct 2020
  • In order to globally optimize crew members in commonly used fixed shift system, an integrated optimum scheduling that combines crew scheduling and rostering is proposed with the constraints of shift proportions and candidate shifts. Then, an improved column generation approach is developed for the proposed model in which the suitable shifts are generated according to the type of shifts in a pricing sub-problem. Meanwhile, acceleration techniques are used for solving the proposed model. Finally, the case studies with two metro lines connecting different home stations in Beijing is carried out, focusing on the optimization results under three shifts in four groups and five shifts in six groups and their algorithm efficiency. It is indicated that as for the fixed shift system, the proposed integrated optimum scheduling is able to reduce the number of drivers by 6.67%−14.29% in contrast to the separated optimization, and the computation time by 44.2%−51.4%.

     

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