Experimental Study of Oblique Pedestrian Streams

  • Lishan Sun Beijing University of Technology
  • Qingsheng Gong Beijing University of Technology
  • Siyuan Hao Beijing University of Technology
  • Chao Wang Beijing University of Technology
  • Yanyan Chen Beijing University of Technology
DOI: https://doi.org/10.7307/ptt.v30i2.2344
Keywords: rail transit, intersecting pedestrian streams, intersecting angle, pedestrian experiment,

Abstract

The intersecting of pedestrian streams is a common phenomenon which would lead to the pedestrian deceleration, stopping, and even threat to the safety of walking. The organization of pedestrian flow is a critical factor which influences the intersection traffic. The aim of this paper is to study the characteristics of oblique pedestrian streams by a set of pedestrian experiments. Two groups of experiment participants, three volume levels and five intersecting angles were tested. The qualitative analysis and quantitative analysis methods were applied to find out the relationship between the pedestrian streams angle and pedestrian characteristics. The results indicated that the mean and median speed, exit traffic efficiency decreased initially and increased afterwards with the increase of intersecting angles when the volume was 1,000 p/h/m and 3,000 p/h/m, while the speed standard deviation changing inversely. However, these four factors show the opposite variation tendency in volume 5,000 p/h/m. Meanwhile, the quadratic function was selected to fit them. It is found that the worst speeds of pedestrian streams were 131° and 122° in volume 1,000 p/h/m and 3,000 p/h/m, respectively, and the greatest influence on pedestrian streams was 125° in volume 5,000 p/h/m. The results of this research can help establish the foundation for the organization and optimization of intersecting pedestrian streams.

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Lishan Sun, Beijing University of Technology
Lishan Sun is an associate professor of Beijing Key Laboratory of Traffic Engineering at Beijing University of Technology. Dr. Sun mainly engaged in the research of pedestrian behavior mechanism and subway hub layout design.
Qingsheng Gong, Beijing University of Technology

Qingsheng Gong is a master of Beijing Key Laboratory of Traffic Engineering at Beijing University of Technology. Gong mainly engaged in the research of pedestrian behavior mechanism and subway hub layout design.

Siyuan Hao, Beijing University of Technology
Siyuan Hao is a master of Beijing Key Laboratory of Traffic Engineering at Beijing University of Technology, and mainly engaged in the research of pedestrian behavior mechanism and subway hub layout design.
Chao Wang, Beijing University of Technology
Chao Wang is an associate professor of  Beijing University of Technology.
Yanyan Chen, Beijing University of Technology
Yanyan Chen is a professor of  Beijing University of Technology.

References

Fruin JJ. Pedestrian planning and design. Metropolitan Association of Urban Designers & Environmental Planners. 1971.

Ando K, Ota H, and Oki T. Forecasting the flow of people. Railway Res. Rev. 1988;45(8): 8-14 (in Japanese).

Dzubiella J, Löwen H. Pattern formation in driven colloidal mixtures: tilted driving forces and re-entrant crystal freezing. Journal of Physics Condensed Matter. 2002;14(40): 9383-9395(13). Available from: doi:10.1088/0953-8984/14/40/324 [Accessed 28th November 2017].

Hoogendoorn S, Piet HLB. Simulation of pedestrian flows by optimal control and differential games. Optimal Control Applications & Methods. 2003;24(3): 153-172. Available from: doi:10.1002/oca.727 [Accessed 28th November 2017].

Hoogendoorn S, Daamen W. Self-organization in pedestrian flow. Traffic & Granular Flow. 2005: 373-382. Available from: doi:10.1007/3-540-28091-X_36 [Accessed 28th November 2017].

Jiang Y, Xiong T, Wong SC, Shu CW, Zhang M, Zhang P, Lam WHK. A reactive dynamic continuum user equilibrium model for bi-directional pedestrian flows. Acta Mathematica Scientia. 2009;29(6): 1541-1555. Available from: doi:10.1016/S0252-9602(10)60002-1 [Accessed 28th November 2017].

Xia Y, Wong SC, Shu CW, Zhang M, Lam WHK, Huang L. Dynamic continuum model for bi-directional pedestrian flows. Engineering & Computational Mechanics. 2009;162(2): 67-75. Available from: doi:10.1680/eacm.2009.162.2.67 [Accessed 28th November 2017].

Xiong T, Zhang M, Shu CW, Wong SC, Zhang P. High-order computational scheme for a dynamic continuum model for bi-directional pedestrian flows. Computeraided Civil & Infrastructure Engineering. 2011;26(4): 298-310. Available from: doi:10.1111/j.1467-8667.2010.00688.x [Accessed 28th November 2017].

Sharifi MS, Dan S, Christensen K, Chen A. Exploring traffic flow characteristics and walking speeds of heterogeneous pedestrian stream involving individuals with disabilities in different walking environments[C]//Transportation Research Board 95st Annual Meeting; 2015.

Wong SC, Asce M, Leung WL, Chan SH, Lam WHK, Yung NHC, et al. Bidirectional pedestrian stream model with oblique intersecting angle. Journal of Transportation Engineering. 2010;136(3): 234-242. Available from: doi:10.1061/ASCETE.1943-5436.0000086 [Accessed 28th November 2017].

Xie S, Wong SC, Lam WHK, Chen A. Development of a bidirectional pedestrian stream model with an oblique intersecting angle. Journal of Transportation Engineering. 2013;139(7): 678-685. Available from: doi:10.1061/(ASCE)TE.1943-5436.0000555 [Accessed 28th November 2017].

Lian L, Mai X, Song W, Richard YKK, Wei X, Jian. An experimental study on four-directional intersecting pedestrian flows. Journal of Statistical Mechanics Theory & Experiment. Aug 2015. Available from: doi:10.1088/1742-5468/2015/08/P08024 [Accessed 28th November 2017]

Daamen W, Hoogendoorn SP. Experimental research of pedestrian walking behavior. Transportation Research Record Journal of the Transportation Research Board. 2003;1828: 20-30. Available from: doi:10.3141/1828-03 [Accessed 28th November

.

Helbing D, Werner T. Self-organized pedestrian crowd dynamics: experiments, simulations, and design solutions. Transportation Science. 2005;39(1): 1-24. Available from: doi:10.1287/trsc.1040.0108 [Accessed 28th November 2017].

Hediyeh H, Sayed T, Zaki MH, Ismail K. Before and After Analysis of Pedestrian Crossing Speed Behavior at Scramble Phase Signalized Intersections. Transportation Research Board 91st Annual Meeting. 2012. Available from: doi:10.1080/15568318.2012.708098 [Accessed 28th November 2017].

Shao Y, Shao W, Zhang N, et al. Influence of intersecting angles pedestrian streams for traffic capacity in subway station. Journal of highway and transportation research and development. 2013;11: 413-416.

Sun L, Luo W, Yao L, et al. A comparative study of funnel shape bottlenecks in subway stations. Transportation Research Part A Policy & Practice. 2017;98: 14-27. Available from: doi:https://doi.org/10.1016/j.tra.2017.01.021 [Accessed 28th November 2017].

Sun L, Hao S, Gong Q, et al. Pedestrian roundabout improvement strategy in subway stations. Transport. 2017: 1-10. Available from: doi:10.1680/jtran.16.00073 [Accessed 28th November 2017].

Jinkui L, Xianke W, Wenjing L. The Effects of Different Excavation Angle on Intersecting Tunnel Surrounding Rock Stability. 2nd International Conference on Modelling, Identification and Control. Atlantis Press. 2015. Available from: doi:10.2991/mic-15.2015.57 [Accessed 28th November 2017].

Wei Y, Tian Q, Guo T. An Improved Pedestrian Detection Algorithm Integrating Haar-Like Features and HOG Descriptors. Advances in Mechanical Engineering (Hindawi Publishing Corporati. 2013;2013(4): 546206-546206. Available from: doi:10.1155/2013/546206 [Accessed 28th November 2017].

Wei Y, Guo T, Tian Q, Miao X. Review on Vision Based Road Target Detection, Identification, and Tracking. Journal of Beijing Institute of Technology. 2012;21(2): 257-262.

Shiwakoti N, Gong Y, Shi X, Ye Z. Examining influence of merging architectural features on pedestrian crowd movement. Safety Science. 2015;75: 15-22. Available from: doi:https://doi.org/10.1016/j.ssci.2015.01.009 [Accessed 28th November 2017].

Sun L, Yang Z, Rong J, Liu X. Study on the weaving behavior of high density bidirectional pedestrian flow. Mathematical Problems in Engineering. 2014;26(1): 1-9. Available from: doi:10.1155/2014/765659 [Accessed 28th November 2017].

Ren F, Liu X, Rong J. Traffic engineering. China communications press; 2003.

Hyman R. Stimulus information as a determinant of reaction time. Journal of Experimental Psychology. 1953;45(3): 188-96. Available from: doi:10.1037/h0056940 [Accessed 28th November 2017].

Published
2018-04-20
How to Cite
1.
Sun L, Gong Q, Hao S, Wang C, Chen Y. Experimental Study of Oblique Pedestrian Streams. Promet [Internet]. 2018Apr.20 [cited 2024Dec.22];30(2):151-6. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/2344
Issue
Vol 30 No 2 (2018)
Section
Articles
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