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Trans. Planning Journal
| Title | A Genetic Algorithm Model for MRT Train Service Planning |
|---|---|
| Author | Jin-Yuan Wang, Chih-Ming Lin |
| Summary | The MRT train service plan is a kind of bi-level programming problem. For MRT companies, the decision about service mode and headway is the upper-level problem. The goal is to minimize the operational cost under the constraints of MRT system and service performance index (SPI). The lower-level problem is passengers’ route choice model, for their main concern is to minimize their travel time and cost, which consequently influences the SPI. This study presents a genetic algorithm for MRT train service planning to solve the bi-level programming problem. In addition, the proposed model was tested with the current network of Taipei Rapid Transit Corporation (TRTC). The results suggest that the model and solution algorithm with high stability, feasibility and solution quality is useful for TRTC. |
| Vol. | 36 |
| No. | 1 |
| Page | 115 |
| Year | 2007 |
| Month | 3 |
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