|
| Abstract: |
| The rapid growth of passenger flow in urban rail transit has led to great service pressures to metro companies in organizing train services to provide higher transportation capacities to satisfy passengers travel demand, especially in those metro lines with insufficient rolling stocks. In order to cope with high passenger flow service pressure, a mixed integer nonlinear programming (MINLP) model is proposed to optimize the line plan, timetable and rolling stock circulation together, to reduce the number of rolling stocks and increase the number of full-length services. A two-step algorithm strategy is proposed. In the first stage, the train timetable is optimized under the assumption that all the train services are the full-length services. In the second stage, the rolling stock plan is optimized given the timetable optimized in the first stage. To ensure a feasible rolling stock circulation, certain full-length services are shortened to the shortlength services due to the limited number of rolling stocks. Numerical experiments are performed based on the real-life data of Shanghai Metro Line 8. Experience results show that the proposed method can efficiently optimize the timetable and rolling stock circulation of the whole operation day. The optimized results are beneficial for both the service and the operational costs. |
| Key words: urban rail transit mixed integer nonlinear programming timetable design rolling stock circulation |
| DOI：10.11916/j.issn.1005-9113.23064 |
| Clc Number:U239.5 |
| Fund: |
