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地铁车站行人排队行为建模与仿真 被引量:2

Modeling and simulation of pedestrian queuing behavior in subway station
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摘要 面对地铁车站高峰时段客流量大、站场空间有限等情况,仿真分析地铁车站行人排队行为,提出一种根据进站口的单位时间通过率来有效组织行人进站的方法。文章根据对排队论构建了行人排队行为模型,并利用Anylogic软件仿真分析了广州地铁某车站的进站闸机平均排队、车站候车排队以及进站口的单位时间通过人数等。实验分析表明,在高峰时段该进站口行人单位时间通过率控制在3500人/h以内较为合适。 Facing the situation of large passenger flow and limited space in the subway station during the peak period, this paper analyzes the queuing behavior of pedestrians in the subway station by simulation, and puts forward a method to effectively organize pedestrians to enter the station according to the passing rate of unit time at the entrance. Based on the queuing theory,this paper constructs a pedestrian queuing behavior model, and analyzes the average queuing of the entrance gate, the waiting queue of the station and the number of people passing through the entrance in unit time at a station in Guangzhou Metro by using the software of Anylogic. The experimental analysis shows that it is more suitable to control the pedestrian passing rate within 3500 people/h in the peak period.
作者 杜棋东 许楚群 Du Qidong;Xu Chuqun(Guangzhou Railway Polytechnic Education Technology Center,Guangzhou,Guangdong 510430,China)
出处 《计算机时代》 2020年第4期14-17,20,共5页 Computer Era
基金 2019年度广东大学生科技创新培育专项资金项目(pdjh2019b0834)。
关键词 地铁车站 行人排队行为建模 仿真 ANYLOGIC subway station pedestrian queuing behavior modeling simulation Anylogic
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