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作 者:刘一杨 刘诗靓 田栋宇 董宁宁 李铁柱[2] 涂然 LIU Yiyang;LIU Shiliang;TIAN Dongyu;DONG Ningning;LI Tiezhu;TU Ran(POWERCHINA Huadong Engineering Corporation Limited,Hangzhou 310000,China;School of Transportation,Southeast University,Nanjing 211189,China)
机构地区:[1]中国电建集团华东勘测设计研究院有限公司,杭州310000 [2]东南大学交通学院,南京211189
出 处:《交通科技与经济》2023年第3期40-48,共9页Technology & Economy in Areas of Communications
基 金:江苏轨道交通产业发展协同创新基地开放基金项目(GCXC2103);江苏轨道交通产业发展协同创新基地开放基金项目(GCXC2104)。
摘 要:以成都市轨道交通4条线路换乘站骡马市站为研究对象,通过站内客流流线分析,提出站内客流拥堵解决方案,为缓解城市轨道交通大型车站的客流拥堵问题提供参考。运用基于社会力模型算法的AnyLogic仿真软件构建城市轨道交通大型换乘站模型,基于Fruin服务水平评价标准,分析远期规划高峰时段的客流时空轨迹演变规律,辨识地铁站内客流集散瓶颈点。根据拥堵成因分析,提出3类地铁换乘站内客流瓶颈点,分别为流线交织瓶颈点、通行能力不足瓶颈点与混合瓶颈点。结合骡马市站站内设施设计,针对3类瓶颈点分别提出优化改进措施,研究结果表明,优化后的车站场景模型能大幅度缓解车站客流拥堵,提升车站服务水平。This study used Luomashi Station,a four-line transfer station in Chengdu,as the target to analyze the passenger flow in the station,and propose congestion mitigation strategies to provide a reference for relieving passenger congestion in large urban subway stations.A large transfer station model for urban rail transit was established using the AnyLogic platform based on the social force model algorithm,and the large station structure and transfer passenger flow line were analyzed.Based on Fruin’s service level evaluation criteria,the temporal and spatial trajectory of passenger flow during the peak hours of long-term planning was analyzed,and the bottlenecks of passenger flow in metro stations were identified.According to the analysis of the causes of congestion,three types of bottlenecks in the station were classified:streamline-weaving,insufficient capacity,and hybrid.Combined with the facilities design of Luomashi Station,optimization measures were proposed for each type of bottleneck in urban rail transit.The results show that the optimized station model can significantly reduce congestion and improve the service level.
关 键 词:轨道交通 换乘枢纽 社会力模型 智能体仿真 瓶颈点识别
分 类 号:U29[交通运输工程—交通运输规划与管理]
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