Limited visual range in the Social Force Model: Effects on macroscopic and microscopic dynamics

Ander García, Dariel Hernández-Delfin, Dae-Jin Lee and Marco Ellero

Physica A: Statistical Mechanics and its Applications, 2023, vol. 612, issue C

Abstract: The Social Force Model has been widely used to simulate pedestrian dynamics. Its simplicity and ability to reproduce some collective patterns of behavior make it an adequate tool in the field of pedestrian dynamics. However, its ability to reproduce common macroscopic empirical results, such as pedestrian flows through a bottleneck and the speed-density fundamental diagram, has scarcely been studied. In addition, the effect of each parameter of the model on the dynamics of the system has rarely been shown. In this contribution, a comprehensive parameter-sensitivity analysis in the social force model is provided, and an optimal set is introduced, capable of reproducing both macroscopic experimental flow data and collision avoidance between pedestrians in simple trajectories on the microscopic scale. We show that the incorporation of asymmetric visual range models in the inter-pedestrian interactions is required for quantitative agreement. The model is also capable of showing collision avoidance in simple pedestrian trajectories and lane formation in non-crowded bidirectional pedestrian flows.

Keywords: Social force model; Limited visual range; Flow through a bottleneck; Fundamental diagram; Collision avoidance; Bidirectional flows (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:612:y:2023:i:c:s037843712300016x

DOI: 10.1016/j.physa.2023.128461

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