Abstract
With the development of automatic train operations, optimal trajectory design is significant to the performance of train operations in railway transportation systems. Considering energy efficiency and service quality, this article formulates a bi-objective train-speed trajectory optimization model to minimize simultaneously the energy consumption and travel time in an inter-station section. This article is distinct from previous studies in that more sophisticated train driving strategies characterized by the acceleration/deceleration gear, the cruising speed, and the speed-shift site are specifically considered. For obtaining an optimal train-speed trajectory which has equal satisfactory degree on both objectives, a fuzzy linear programming approach is applied to reformulate the objectives. In addition, a genetic algorithm is developed to solve the proposed train-speed trajectory optimization problem. Finally, a series of numerical experiments based on a real-world instance of Beijing–Tianjin Intercity Railway are implemented to illustrate the practicability of the proposed model as well as the effectiveness of the solution methodology.
Original language | English |
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Pages (from-to) | 797-818 |
Number of pages | 22 |
Journal | Engineering Optimization |
Volume | 50 |
Issue number | 5 |
DOIs | |
Publication status | Published - 4 May 2018 |
Externally published | Yes |
Keywords
- Railway transportation
- energy efficiency
- genetic algorithm
- train driving strategy
- travel time