Continuous agent-based modeling of adult-child pairs based on a pseudo-energy: Relevance for public safety and egress efficiency
arXiv:2410.13266 · doi:10.1016/j.ssci.2024.106576
Abstract
Pushes, falls, stampedes, and crushes are safety hazards that emerge from the collective motion of crowds, but might be avoided by better design and guidance. While pedestrian dynamics are now getting better understood on the whole, complex heterogeneous flows involvinge.g. adult-child pairs, though widely found at e.g. crowded Chinese training schools, still defy the current understanding and capabilities of crowd simulation models. We substantially extend a recent agent-based model in which each agent's choice of motion results from the minimization ofa sum of intuitive contributions, in order to integrate adult-child pairs. This is achieved by adding a suitably defined pairing potential. The resulting model captures the relative positions of pair members in a quantitative fashion, as confirmed by small-scale controlled experiments, and alsosucceeds in describing collision avoidance between pairs. The model is used to simulate mixed adult-child flows at a T-junction and test the sensitivity to the design and pairing strategies. Simulation shows that making the post-confluence corridor wide enough is critical to avoidfriction in the flow, and that tight hand-holding is advisable for safer evacuations (whereas more loosely bound pairs get split at high density) and, more marginally, more efficient egresses in normal conditions.
References in corpus (10)
- The Dynamics of Crowd Disasters: An Empirical Study
- Transitions in pedestrian fundamental diagrams of straight corridors and T-junctions
- Universal power law governing pedestrian interactions
- The fundamental diagrams of elderly pedestrian flow in straight corridors under different densities
- How crowd accidents are reported in the news media: Lexical and sentiment analysis
- Influence of individual factors on fundamental diagrams of pedestrians
- Social Groups and Pedestrian Crowds: Experiment on Dyads in a Counter Flow Scenario
- Social aspects of collision avoidance: A detailed analysis of two-person groups and individual pedestrians
- Body and mind: Decoding the dynamics of pedestrians and the effect of smartphone distraction by coupling mechanical and decisional processes
- Oscillating behavior within the social force model