Journal Article FZJ-2020-05355

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A speed-based model for crowd simulation considering walking preferences

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2021
Elsevier Amsterdam [u.a.]

Communications in nonlinear science and numerical simulation 95, 105624 - () [10.1016/j.cnsns.2020.105624]

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Abstract: To investigate the influence of the walking preferences on pedestrian movements, a modified collision-free speed model is proposed by considering the expectations of comfortable walking for a pedestrian. In the model, the walking directions of pedestrians are determined by taking human perception of comfort and preference for walking straight to their intended destinations into account. The restriction of walls in heading direction on pedestrian's walking is introduced to avoid potential collisions among pedestrians and obstacles. Model validation with respect to experimental data shows that our model performs better than the original model with regards to the trajectory's distribution and the velocity profile, and can effectively alleviate backward movements. Furthermore, the speed-density relation in corridor inferred from the new model fits the experimental data well and the model performs more accurately in simulating the flow-width relation in bottleneck scenario than the original collision-free speed model.

Classification:

Contributing Institute(s):
  1. Zivile Sicherheitsforschung (IAS-7)
Research Program(s):
  1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)
  2. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)

Appears in the scientific report 2021
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Medline ; Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 ; Embargoed OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Open Access

 Datensatz erzeugt am 2020-12-17, letzte Änderung am 2023-01-11


Published on 2020-11-27. Available in OpenAccess from 2022-11-27.:
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