Journal
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
Volume 105, Issue -, Pages 83-104Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tre.2017.06.001
Keywords
Urban rail transit; Regular train schedule; Train circulation plan; Integrated optimization; MILP
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Funding
- National Natural Science Foundation of China [61503020, 71571012]
- State Key Laboratory of Rail Traffic Control and Safety [RCS2016ZJ003]
- Fundamental Research Funds for the Central Universities [2017JBM076]
- Beijing Municipal Science and Technology Commission [Z161100001016006]
- Beijing Municipal Commission of Education [I15H100010]
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This paper presents an integrated model to optimize the train schedule and circulation plan simultaneously based on a given service pattern generated by the demand analysis and line planning. The operation of train services, the turnaround operations, the entering/exiting depot operation, and the number of available trains are involved in the model. The proposed integrated and extended integrated optimization problems are transformed into mixed integer linear programming (MILP) problems, which can be efficiently solved by the CPLEX solver. Numerical examples based on the Beijing Yizhuang line are implemented to demonstrate the performance of the proposed models and solution approach. (C) 2017 Elsevier Ltd. All rights reserved.
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