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A dynamic network loading model for anisotropic and congested pedestrian flows

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  • Hänseler, Flurin S.
  • Lam, William H.K.
  • Bierlaire, Michel
  • Lederrey, Gael
  • Nikolić, Marija

Abstract

A macroscopic loading model for multi-directional, time-varying and congested pedestrian flows is proposed. Walkable space is represented by a network of streams that are each associated with an area in which they interact. To describe this interaction, a stream-based pedestrian fundamental diagram is used that relates density and walking speed in multi-directional flow. The proposed model is applied to two different case studies. The explicit modeling of anisotropy in walking speed is shown to significantly improve the ability of the model to reproduce empirically observed walking time distributions. Moreover, the obtained model parametrization is in excellent agreement with the literature.

Suggested Citation

  • Hänseler, Flurin S. & Lam, William H.K. & Bierlaire, Michel & Lederrey, Gael & Nikolić, Marija, 2017. "A dynamic network loading model for anisotropic and congested pedestrian flows," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 149-168.
    • Handle: RePEc:eee:transb:v:95:y:2017:i:c:p:149-168
    DOI: 10.1016/j.trb.2016.10.017
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    7. Aghamohammadi, Rafegh & Laval, Jorge A., 2020. "A continuum model for cities based on the macroscopic fundamental diagram: A semi-Lagrangian solution method," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 101-116.
    8. Aghamohammadi, Rafegh & Laval, Jorge A., 2020. "Dynamic traffic assignment using the macroscopic fundamental diagram: A Review of vehicular and pedestrian flow models," Transportation Research Part B: Methodological, Elsevier, vol. 137(C), pages 99-118.
    9. Muñoz, Juan Carlos & Soza-Parra, Jaime & Didier, Arturo & Silva, Constanza, 2018. "Alleviating a subway bottleneck through a platform gate," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 446-455.
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