城市轨道交通大客流控制是保证运行秩序和乘客安全的客运组织管控手段,目前由运营人员根据经验进行大客流辨识和客流控制决策的模式具有一定的主观性和滞后性。基于自动售检票系统(AFC)历史客票数据,分析车站大客流的发展规律,基于实时客票数据和列车运行实绩,获取进站客流的实时聚集数量及其空间分布情况,提出的辅助决策方法能够基于客票数据确定车站客流控制等级和控制时机,具备较好的精确性和前瞻性。
The large passenger flow control in urban rail transit is an efficient management measure to ensure the operation order and passenger safety. The current decision-making mode, in which the identification and control decision of large passenger flow is based on experience, is subjective and of lag in a degree. The development rule of large passenger flow is analyzed in this paper based on the history ticket data from AFC system. The real-time accumulation of passenger flow and its spatial distribution in station is achieved from real-time ticket data and train operation. The decision-making method is proposed to determine the level and time of passenger flow control with good precision and prospect.