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作 者:刘原恺 帅斌[2] 许旻昊 LIU Yuan-kai;SHUAI Bin;XU Min-hao(Civil Aviation Flight University of China,Deyang Sichuan,618307,China;Southwest Jiaotong University,Chengdu Sichuan,610031,China)
机构地区:[1]中国民用航空飞行学院,四川德阳618307 [2]西南交通大学,四川成都610031
出 处:《计算机仿真》2022年第1期116-123,共8页Computer Simulation
基 金:国家自然科学基金(71173177)。
摘 要:针对地铁换乘站在大客流情况下客流仿真无法同时兼顾准确性和高效性的问题,采用动态网络流和系统动力学相结合的混合模型,研究换乘站系统客流的演化规律,为车站客流管理提供一定理论和实践支撑。将换乘站系统分为人、机、环、管四个子系统,并采用动态网络流模型对车站环境要素状态进行描述;依据换乘站系统结构要素关系,绘制客流系统流图,构建系统动力学方程,设计客流数值仿真计算流程。以某典型换乘站高峰期客流数据为基础,建立客流仿真模型进行分析。结果显示,混合模型数值仿真结果与实测数据基本一致,并且仿真效率高于商业仿真软件Anylogic,因此上述混合模型在高峰期大客流的情况下能保持客流仿真的准确性和高效性。To solve the difficulty that the pedestrian flow simulation of the subway transfer station cannot take into account both accuracy and efficiency in the case of heavy passenger flow, a combined model combining dynamic network model and system dynamics is used to study the evolution of pedestrian flow in the subway transfer station system. First, the system was divided into four sub-systems: human, machine, environment and management. The dynamic network model was used to describe the environmental elements of the station. Then, the relationship of the transfer station system was used to draw the system flow diagram and design the system dynamics equations. On this basis, the pedestrian flow numerical simulation calculation process was designed. Based on the peak pedestrian flow data of a typical transfer station, a pedestrian flow simulation model was established for analysis. The results show that the simulation data of the combined model is basically consistent with the measured data, and the simulation is more efficient than the commercial simulation software Anylogic. The combined model can ensure the accuracy and efficiency of pedestrian flow simulation in the case of heavy pedestrian flow during peak periods.
关 键 词:城市交通 客流仿真 网络模型 系统动力学 地铁换乘站
分 类 号:N945.12[自然科学总论—系统科学] TP391.9[自动化与计算机技术—计算机应用技术]
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