Abstract
Metro passenger flow control problem is studied under given total inbound demand in this work, which considers passenger demand control and train capacity supply. Relevant connotations are analyzed and a mathematical model is developed. The decision variables are boarding limiting and stop-skip** strategies and the objective is the maximal passenger profit. And a passenger original station choice model based on utility theory is built to modify the inbound passenger distribution among stations. Algorithm of metro passenger flow control scheme is designed, where two key technologies of stop**-station choice and headway adjustment are given and boarding limiting and train stop**-station scheme are optimized. Finally, a real case of Bei**g metro is taken for example to verify validity. The results show that in the three scenarios with different ratios of normal trains to stop-skip** trains, the total limited passenger volume is the smallest and the systematic profit is the largest in scenario 3.
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Foundation item: Projects(RCS2015ZZ002, RCS2014ZT25) supported by State Key Laboratory of Rail Traffic Control & Safety, China; Project(2015RC058) supported by Bei**g Jiaotong University, China
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Jiang, M., Li, Hy., Xu, Xy. et al. Metro passenger flow control with station-to-station cooperation based on stop-skip** and boarding limiting. J. Cent. South Univ. 24, 236–244 (2017). https://doi.org/10.1007/s11771-017-3424-x
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DOI: https://doi.org/10.1007/s11771-017-3424-x