基于元胞自动机的低头族行人效率模型  

Traffic Efficiency Model of Cellphone-using Pedestrians Based on Cellular Automata

作　　者：乔婧 陶瑞 孙立山 乔建刚 QIAO Jing;TAO Rui;SUN Lishan;QIAO Jiangang(Institute of Comprehensive Transportation of Academy of Macroeconomic Research of NDRC,Beijing 100038,China;School of Civil and Transportation Engineering,Hebei University of Technology,Tianjin 300401,China;College of Metropolitan Transportation,Beijing University of Technology,Beijing 100124,China)

机构地区：[1]国家发展和改革委员会宏观经济研究院综合运输研究所,北京100038 [2]河北工业大学土木与交通学院,天津300401 [3]北京工业大学城市交通学院,北京100124

出　　处：《北京工业大学学报》2023年第1期44-52,共9页Journal of Beijing University of Technology

基　　金：国家重点研发计划重点专项资助项目(2017YFC0805404);国家自然科学基金资助项目(51308017)。

摘　　要：为科学量化轨道交通通道中低头族行人对通行效率的影响,在实地采集轨道交通通道低头族行人的视频数据的基础上,采用视频自动识别技术,提取了低头族行人的低头频率、抬头频率、行走速度和转角等参数.从策略层和操作层解析了低头族行人的补偿式行为特征,验证了正常行人与低头族行人在转角、行走时间、行走速度之间的异同.利用基于动态参数模型的元胞自动机模型,结合低头族行人的补偿行为特征,构建低头族行人的数值模拟模型,分析出不同混入率低头族行人密度、通行时间、个体空间占用面积与流量之间的相互关系.结果发现30%以上的低头族行人对行人流影响显著.该研究有助深入解析行人行为特性,完善仿真模型在模拟多类型复杂行人流中的应用,并为轨道交通内部设施规划和客流管控提供理论依据.To scientifically quantify the impact of bowed pedestrians on traffic efficiency in rail transit channels,this paper,based on the field collection of video data of bowed pedestrians in rail transit channels,extracted the bowing frequency and raising frequency of pedestrians,walking speed and turning angle and other parameters by using video automatic recognition technology.The compensatory behavior characteristics of the bowed pedestrians were analyzed from the strategic and operational levels,and the similarities and differences between the normal pedestrians and the bowed pedestrians in the corners,walking time,and walking speed were verified.Using the cellular automata model based on the dynamic parameter model,combined with the compensating behavior characteristics of the bowed pedestrians,a numerical simulation model of the bowed pedestrians was constructed,and the density,travel time,individual space occupied area and the flow rate of the pedestrians with different mixing rates were analyzed.Results show that more than 30%of pedestrians with bowed heads have a significant impact on pedestrian flow.This study can help analyze the characteristics of pedestrian behavior in depth,improve the application of simulation models in simulating multiple types of complex pedestrian flows,and provide a theoretical basis for the planning of rail transit internal facilities and passenger flow control.

关 键 词：轨道交通 元胞自动机 低头族行人 行为特征 效率模型 客流预测 

分 类 号：U495[交通运输工程—交通运输规划与管理]