Integrated optimization of regular train schedule and train circulation plan for urban rail transit lines

Yihui Wang, Tao Tang, Bin Ning and Lingyun Meng

Transportation Research Part E: Logistics and Transportation Review, 2017, vol. 105, issue C, 83-104

Abstract: 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.

Keywords: Urban rail transit; Regular train schedule; Train circulation plan; Integrated optimization; MILP (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (19)

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DOI: 10.1016/j.tre.2017.06.001

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