论文部分内容阅读
为优化铁路客运专线车站的设计,研究了考虑不同发车频率的客流生成机制,应用标准的马尔可夫决策过程描述了乘客在车站内的集散过程,提出了基于逻辑网络和点阵的设备控制表示方法,建立了铁路客运专线车站乘客集散微观仿真模型。仿真发现:当行人移动空间在0.5m2左右时,流量达到峰值,速度分布在20～80m·min-1,并随密度增加呈指数递减趋势;在相同客流输入条件下,不同设施上的客流集散规律不同;通过对行人复杂行为的仿真,成功再现了客流集散中的自组织现象,有效避免了交通流基本图模拟现实交通中的不适应取值范围。结果表明模型具有较高的可靠性和实用性。
In order to optimize the design of railway passenger dedicated railway station, the generation mechanism of passenger flow considering different starting frequencies is studied. The standard Markov decision process is used to describe the process of passengers’ collection and dispatch in the station. The device control representation based on logical network and lattice is proposed Method, a micro-simulation model of passenger separation at railway station passenger dedicated line was established. The simulation results show that when the pedestrian movement space is about 0.5m2, the flow reaches the peak, the velocity distribution is 20 ~ 80m · min-1, and decreases exponentially with increasing density. Under the same passenger flow input, the passenger flow distribution Different laws; through the simulation of pedestrian complex behavior, successfully reproduced the self-organization phenomenon in the passenger flow distribution, which effectively avoids the range of maladjusted value in the traffic simulation of the basic traffic simulation. The results show that the model has high reliability and practicability.