An Efficient Train Timetable Scheduling Approach With Regenerative-Energy Supplementation Strategy Responding to Potential Power Interruptions

The timetable of a metro system is essential for trains running safely and efficiently. For the design timetable, potential power interruptions energy supplies from substations to should be borne in mind. In case occur, backup plan completed responsively accommodate passenger demands this study, we propose an supplementation strategy utilizing regenerative decelerating event develop tri-objective optimization model incorporating travel time, interruption, consumption. Particularly, calculating utilization, suggest many-to-many allocation mechanism between accelerating based on real-time supplies. A heuristic algorithm developed obtain regular cyclic minimizing interruptions, suggested are tested smart-card data collected bidirectional line Beijing (China). results show that approach significantly improves efficiency, reduces waiting decreases interruption risks, compared with currently used scheduling method.