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Comparison of intersecting pedestrian flows based on experiments

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  • Zhang, J.
  • Seyfried, A.

Abstract

Intersections of pedestrian flows feature multiple types, varying in the numbers of flow directions as well as intersecting angles. In this article results from intersecting flow experiments with two different intersecting angles are compared. To analyze the transport capabilities the Voronoi method is used to resolve the fine structure of the resulting velocity–density relations and spatial dependence of the measurements. The fundamental diagrams of various flow types are compared and show no apparent difference with respect to the intersecting angle 90° and 180°. This result indicates that head-on conflicts of different types of flow have the same influence on the transport properties of the system, which demonstrates the high self-organization capabilities of pedestrians.

Suggested Citation

  • Zhang, J. & Seyfried, A., 2014. "Comparison of intersecting pedestrian flows based on experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 316-325.
    • Handle: RePEc:eee:phsmap:v:405:y:2014:i:c:p:316-325
    DOI: 10.1016/j.physa.2014.03.004
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    References listed on IDEAS

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    1. Hughes, R.L., 2000. "The flow of large crowds of pedestrians," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 53(4), pages 367-370.
    2. William Lam & Jodie Lee & C. Cheung, 2002. "A study of the bi-directional pedestrian flow characteristics at Hong Kong signalized crosswalk facilities," Transportation, Springer, vol. 29(2), pages 169-192, May.
    3. Lam, William H. K. & Lee, Jodie Y. S. & Chan, K. S. & Goh, P. K., 2003. "A generalised function for modeling bi-directional flow effects on indoor walkways in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(9), pages 789-810, November.
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    Cited by:

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