吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (1): 100-107.doi: 10.13229/j.cnki.jdxbgxb201601015

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Identification of pedestrian crowding degree in metro transfer hub based on normal cloud model

ZHOU Ji-biao1, CHEN Hong2, YAN Bin3, ZHANG Wen4, FENG Wei2   

  1. 1.School of Transportation, Ningbo University of Technology, Ningbo 315211, China;
    2.School of Highway, Chang'an University, Xi'an 710064, China;
    3.Department of Driver Training Service, Bengbu Automobile Sergeant's School, Bengbu 233011, China;
    4.Guangzhou Urban Planning & Design Survey Research Institute, Transport Planning & Design Studio, Guangzhou 510060, China
  • Received:2014-09-24 Online:2016-01-30 Published:2016-01-30

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Abstract: In order to solve the problems of fuzziness and randomness in the division of congestion state in metro transfer hub, an identification method of pedestrian crowding degree factor is proposed based on normal cloud model. First, the connotation and the measure standard of the pedestrian crowding degree are analyzed, and according to their boundary value under different service level the digital characteristics of the cloud are calculated. Second, the cloud synthesis theory is applied to establish the template cloud corresponding to different service levels, and the survey data (pedestrian speed, flow etc.) are input into the cloud generator in order to set up the identification cloud model. Third, according the definition of cloud similarity, the similarity between the identified cloud and the template cloud in the infrastructure (e.g. channel, stairs) is calculated. Moreover, the crowding degree is defined independently, which is described in a quantificational level under the state of crowding degree in the metro transfer hub, and the method to identify the pedestrian crowding degree is given. The method is verified by a case study in a metro transfer hub in Xi'an. Results show that the pedestrian crowding degree in the channel 100.095, which is in the crowding state, the pedestrian crowding degree in the stair is 100.273, which is also in the crowded state. This method can not only accurately identify the crowded state quantificationally, but also reflect the change process of pedestrian crowding degree, which has strong practicality.

Key words: engineering of communications and transportation system, crowding degree, cloud model, metro transfer hub, infrastructure

CLC Number: 

  • U491
[1] 周继彪,陈红,闫彬,等.地铁换乘枢纽行人交通特性实证研究[J].武汉理工大学学报,2014,36(4):92-99.
Zhou Ji-biao, Chen Hong, Yan Bin, et al. Pedestrian traffic characteristics analysis in the metro transfer hub[J]. Journal of Wuhan University of Technology, 2014, 36(4): 92-99.
[2] Helbing D, Farkas I J, Molnar P, et al. Simulation of pedestrian crowds in normal and evacuation situations[J]. Pedestrian and Evacuation Dynamics, 2002, 21(1): 21-58.
[3] Miguel A F. The emergence of design in pedestrian dynamics: locomotion, self-organization, walking paths and constructal law[J]. Physics of Life Reviews, 2013, 10(2):168-180.
[4] Ma J, Song W G, Lo S M, et al. New insights into turbulent pedestrian movement pattern in crowd-quakes[J]. Journal of Statistical Mechanics: Theory and Experiment, 2013(2): 28-36.
[5] Zheng X, Zhong T, Liu M. Modeling crowd evacuation of a building based on seven methodological approaches[J]. Building and Environment, 2009, 44(3): 437-445.
[6] Shiwakoti N, Sarvi M. Enhancing the panic escape of crowd through architectural design[J]. Transportation Research Part C: Emerging Technologies, 2013, 37(1): 260-267.
[7] 杨丽丽, 贾洪飞, 隽志才. 轨道交通枢纽换乘系统可靠性及其影响因素[J]. 吉林大学学报:工学版, 2011, 41(4):944-949.
Yang Li-li, Jia Hong-fei, Juan Zhi-cai. Transfer system reliability and its influencing factors of rail transit terminal[J]. Journal of Jilin University (Engineering and Technology Edition), 2011, 41(4):944-949.
[8] Helbing D, Buzna L, Johansson A, et al. Self-organized pedestrian crowd dynamics: experiments, simulations, and design solutions[J]. Transportation Science, 2005, 39 (1): 1-24.
[9] Antonini G, Bierlaire M, Weber M. Discrete choice models of pedestrian walking behavior[J]. Transportation Research Part B: Methodological, 2006, 40(8): 667-687.
[10] Helbing D, Johansson A. Pedestrian, Crowd and Evacuation Dynamics[M]. Berlin: Springer, 2009.
[11] Mawson A R. Mass Panic and Social Attachment: the Dynamics of Human Behavior[M]. Farnham: Ashgate Publishing, Ltd, 2012.
[12] Transportation Research Board. Transit Capacity and Quality of Service Manual[M]. Washington, D C: Transportation Research Board, 2003.
[13] Li D Y, Meng H J,Shi X M. Membership clouds and membership cloud generators[J]. Journal of Computer Research and Development, 1995, 32(6): 15-20.
[14] 李德毅, 刘常昱. 论正态云模型的普适性[J]. 中国工程科学, 2004, 6(8): 28-34.
Li De-yi,Liu Chang-yu. Study on the universality of the normal cloud model[J]. Engineering Science, 2004, 6(8): 28-34.
[15] 孟晖, 王树良, 李德毅. 基于云变换的概念提取及概念层次构建方法[J]. 吉林大学学报:工学版, 2010, 40(3):782-787.
Meng Hui,Wang Shu-liang,Li De-yi.Concept extraction and concept hierarchy constructionbased on cloud transformation[J].Journal of Jilin University (Engineering and Technology Edition),2010,40(3):782-787.
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