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Train Rescheduling for an Urban Rail Transit Line under Disruptions

EasyChair Preprint no. 903

18 pagesDate: April 15, 2019


Disruptions in urban rail transit systems usually result in serious consequences due to the high density and the less flexibility. In this paper, we propose a novel mathematical model for handling a complete blockage of the double tracks for 5-10 minutes, e.g., lack of power at a station, where no train can pass this area during the disruption period. This paper considers the disruption management problem at a macroscopic level. However, operational constraints for the turnaround operation and for the rolling stock circulations are formulated. A mixed-integer non-linear programming (MINLP) model, which can then be transformed into mixed-integer linear programming (MILP) problem, is proposed to minimize the train delays and the number of canceled train services as well as to ensure a regular service for passengers. Numerical experiments are conducted based on real-world data from Beijing subway line 7 to evaluate the effectiveness and efficiency of the proposed model.

Keyphrases: complete blockage, MILP, short-turn, Train rescheduling, urban rail transit

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Y. Chang and R. Niu and Yihui Wang and Xiaojie Luan and Andrea D'Ariano and Marcella Samà},
  title = {Train Rescheduling for an Urban Rail Transit Line under Disruptions},
  howpublished = {EasyChair Preprint no. 903},
  doi = {10.29007/l734},
  year = {EasyChair, 2019}}
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