城市轨道交通乘客下车时间特性分析与建模

摘要

在实际观测北京轨道交通乘客下车时间的基础上,通过研究乘客下车时间规律,建立了分段形式的数学模型.基于一些实际测量的数据,统计分析轨道交通乘客下车的时间特性,发现乘客的平均下车时间具有分段特性,并受到站台的大小、上车乘客以及提示音对乘客下车的影响.结合乘客下车的分段特性,建立了分段的数学模型,然后根据实际的数据拟合了数学模型的参数,给出了拟合后的仿真图.%The piecewise mathematical model is established through studying the law of rail transit passengers getting-off time distribution. Based on some actual measurement field data of passengers getting-off time and through statistical analysis on getting-off time characteristics of rail transit passengers, passengers' average getting-off time with piecewise property is found and is influenced by the size of platform, the boarding passengers and the urgent voice of closing door and so on. Combining with the characteristics of getting-off time, a piecewise mathematical model is made, then according to the actual field data, the model parameters is established and the chart of simulation is given.