Abstract
Both energy consumption and travel time are important indices to evaluate the efficiency of operations of metro rail systems. This paper proposes an optimisation method to schedule trains for reducing the energy consumption and travel time. Firstly, we formulate an integer programming model with timetable and speed control. Secondly, we design an optimal train control algorithm and an adaptive genetic algorithm to find a good solution. Finally, we conduct numerical examples based on the real-life operation data from the Beijing Yizhuang metro rail line of China. The results illustrate that the proposed approach can reduce energy consumption by 7.31% and reduce travel time by 3.26% in comparison with the current operation strategy.
| Original language | English |
|---|---|
| Pages (from-to) | 79-98 |
| Number of pages | 20 |
| Journal | Transportmetrica B |
| Volume | 3 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 4 May 2015 |
| Externally published | Yes |
Keywords
- adaptive genetic algorithm
- energy consumption
- metro rail systems
- operation strategy
- travel time