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Social Field Model to Simulate Bidirectional Pedestrian Flow Using Cellular Automata

In: Traffic and Granular Flow '11

Author

Listed:
  • Jorge D. González

    (Universidad Autónoma Metropolitana Iztapalapa, Departamento de Matemáticas)

  • M. Luisa Sandoval

    (Universidad Autónoma Metropolitana Iztapalapa, Departamento de Matemáticas)

  • Joaquín Delgado

    (Universidad Autónoma Metropolitana Iztapalapa, Departamento de Matemáticas)

Abstract

A collective phenomenon appearing in the simulation of bidirectional pedestrian flow in corridors is dynamic multi-lane (DML) flow. We present a cellular automata model that reproduces this behavior. We propose to incorporate a social distance emulating a territorial effect through a social field, similar to the dynamic floor field of Burstedde et al. (Physica A 295:507–525, 2001). This model also considers a vision field allowing a pedestrian to collect information from cells in front of him/her and to get the weighted social parameter as well; the importance of this parameter in the formation of dynamic lanes is that it helps a pedestrian to choose the lane that contains the highest concentration of persons walking in the same direction. We present numerical simulations in corridors with bidirectional flow and the fundamental diagram for unidirectional flow.

Suggested Citation

  • Jorge D. González & M. Luisa Sandoval & Joaquín Delgado, 2013. "Social Field Model to Simulate Bidirectional Pedestrian Flow Using Cellular Automata," Springer Books, in: Valery V. Kozlov & Alexander P. Buslaev & Alexander S. Bugaev & Marina V. Yashina & Andreas Schadsch (ed.), Traffic and Granular Flow '11, edition 127, pages 197-206, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-39669-4_20
    DOI: 10.1007/978-3-642-39669-4_20
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