摘要
目的:为更准确地把握城市轨道交通车站客流态势变化过程,及时应对可能出现的大客流风险,需基于客流态势快速仿真推演方法来调整车站的客流组织。方法:构建了基于车站实时客流数据和历史客流数据的客流态势快速推演方法的系统架构,提出了基于客流态势快速推演方法的技术流程,以及基于时间逻辑分析的态势推演效率的评测方法。基于快速寻路的跳点算法、大规模人群快速仿真的多线程并行计算方法及用于展示和分析态势演化过程的图形化复现方法,快速获取并处理客流数据,生成推演场景及推演算法,以提升客流态势推演及客流组织调整的时效性和实时性。以上海轨道交通8号线杨思站工作日早高峰时段为例,验证了客流态势快速仿真推演方法的可行性和有效性。结果及结论:该方法总体达到了Level-3级的车站客流态势推演技术水平,可较高效地完成车站10~15 min粒度的短时客流态势推演,为车站客流组织方案的调整提供辅助决策。
Objective:In order to grasp the changes of passenger flow in urban rail transit stations and respond in a timely manner to potential high passenger flow risks,it is necessary to adjust the passenger flow organization based on rapid simulation and deduction of passenger flow situation.Method:A system framework of rapid passenger flow deduction and decision assistance are constructed based on real-time passenger flow data and historical passenger flow data.The technique diagram of deduction and adjustment of passenger flow and an evaluation method of deduction efficiency are also proposed.Based on the jump-point algorithm for fast pathfinding,a multi-threaded parallel computing method for rapid simulation of large-scale crowds,and a graphical reproduction technology for displaying and analyzing the evolution process of the situation,by quickly obtaining and processing the passenger flow data,the deduction scenarios and deduction algorithms are generated,aiming to improve the efficiency and effective of passenger flow situation deduction and organization adjustment.The feasibility and effectiveness of the rapid simulation and deduction method of passenger flow situation are verified during the workday morning peak period of Yangsi Station on Shanghai Metro Line 8.Result&Conclusion:The proposed method has reached Level-3 of station passenger flow deducing technology mentioned in this paper,which can efficiently complete the short-term passenger flow situation deduction with a time granularity of 10-15 minutes at the station,providing decision-making for the adjustment of the station passenger flow organization scheme.
作者
郑翔
刘龙
邹晓磊
ZHENG Xiang;LIU Long;ZOU Xiaolei(Guangzhou Metro Design&Research Institute Co.,Ltd.,510010,Guangzhou,China;不详)
出处
《城市轨道交通研究》
北大核心
2023年第11期43-48,共6页
Urban Mass Transit
基金
中央高校基本科研业务费专项资金资助课题(2022-5-YB-04)
广州地铁设计研究院股份有限公司课题(YK-2018-10)。
关键词
城市轨道交通
车站客流组织
大客流
行人仿真
态势推演
urban rail transit
passenger organization at stations
mass passenger flow
pedestrian simulation
situation deduction
