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Outline
In major metropolitan areas, the severe congestion during peak hours at urban rail transit stations necessitates comprehensive research on train timetable, particularly focusing on the implementation of short-turn and full-length routing strategies coupled with passenger flow control measures. This study takes the morning peak period of urban rail transit lines as its research subject, establishing an optimization model for train timetables by considering passenger travel costs and enterprise operational expenses as the objective functions, while incorporating constraints such as train departure intervals, vehicle capacity, passenger flow control, and routing strategies. Utilizing a linear weighting method to balance both passenger and operational costs, the research develops a genetic algorithm for model solution, with Hangzhou Metro Line 4 serving as a case study. The findings demonstrate that optimized train schedules effectively reduce passenger travel costs, while the implementation of short-turn and full-length routing strategies contributes to lowering operational expenses for enterprises. Furthermore, the integration of passenger flow control measures significantly alleviates station congestion levels. This research on timetable optimization, based on routing strategies and passenger flow control, provides valuable insights for rail transit enterprises in formulating effective peak-hour dispatching strategies.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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