Railway system operations are facing with stochastic disturbances, which cause the delay of trains in operational phase. Thus, a robust timetable should be designed to avoid delay propagation as much as possible in scheduling phase. For that purpose, time allowances are added into timetable in scheduling phase. This paper proposes a mixed integer linear programming (MILP) model that can be used to distribute runtime supplements in order to improve timetable robustness, in which stochastic disturbances are described in the form of probability and integrated into the model. Two simulations based on Guangzhou subway are processed, and sensitivity analysis of the size of total runtime supplement on robustness is observed. The results show that the average delay time can be reduced significantly by applying the proposed MILP method. Meanwhile, this method shows high efficiency in computing the optimal results.
Improving Timetable Robustness through Optimal Distribution of Runtime Supplement
2019-10-01
324420 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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