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Social Force Model Describing Pedestrian and Cyclist Behaviour in Shared Spaces

In: Traffic and Granular Flow '17

Author

Listed:
  • Yufei Yuan

    (Delft University of Technology)

  • Bernat Goñi-Ros

    (Delft University of Technology)

  • Tim P. van Oijen

    (Delft University of Technology)

  • Winnie Daamen

    (Delft University of Technology)

  • Serge P. Hoogendoorn

    (Delft University of Technology)

Abstract

A simulation model capable of reproducing mixed-traffic operations in shared spaces is crucial for the design and management of such areas. Existing models focus on shared spaces where pedestrians and cars interact with each other. This contribution presents a social force model describing walking and cycling behaviour in shared spaces. The model assigns different physical shapes to pedestrian and cyclist agents, accounts for anisotropic interaction behaviour, and imposes turning-angle constraints. The face-validity of the model is tested by comparing simulation output data to empirical macroscopic traffic data derived from video recordings of a shared space in Amsterdam (the Netherlands).

Suggested Citation

  • Yufei Yuan & Bernat Goñi-Ros & Tim P. van Oijen & Winnie Daamen & Serge P. Hoogendoorn, 2019. "Social Force Model Describing Pedestrian and Cyclist Behaviour in Shared Spaces," Springer Books, in: Samer H. Hamdar (ed.), Traffic and Granular Flow '17, pages 477-486, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-11440-4_52
    DOI: 10.1007/978-3-030-11440-4_52
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