Crowd Control in Plazas Constrained to Social Distancing

Monitoring physical distancing for crowd management: real-time trajectory and group analysis

Physical distancing, as a measure to contain the spreading of Covid-19, is defining a "new normal". Unless belonging to a family, pedestrians in shared spaces are asked to observe a minimal (country-dependent) pairwise distance. Coherently, managers of public spaces may be tasked with the enforcement or monitoring of this constraint. As privacy-respectful real-time tracking of pedestrian dynamics in public spaces is a growing reality, it is natural to leverage on these tools to analyze the adherence to physical distancing and compare the effectiveness of crowd management measurements. Typical …

一个基于LLM的智能体框架，用于公共广场移动威胁下的异构疏散行为建模

An LLM-powered Agent Framework for Heterogeneous Evacuation Behavior Modeling under a Moving Threat in a Public Plaza

提出基于LLM的智能体框架，通过人格条件提示和记忆知识图谱建模移动威胁下的异构疏散行为，实验表明信息获取显著影响疏散成功率。

社交距离与行人动力学的未来

Social distancing and the future of pedestrian dynamics

本文从COVID-19社交距离措施出发，反思相关研究对行人动力学未来发展的启示，涵盖安全法规影响及超越限制的新理论与实验方法潜力。

Social distancing in pedestrian dynamics and its effect on disease spreading

Non-pharmaceutical measures such as social distancing, can play an important role to control an epidemic in the absence of vaccinations. In this paper, we study the impact of social distancing on epidemics for which it is executable. We use a mathematical model combining human mobility and disease spreading. For the mobility dynamics, we design an agent based model consisting of pedestrian dynamics with a novel type of force to resemble social distancing in crowded sites. For the spreading dynamics, we consider the compartmental SIE dynamics plus an indirect transmission with the footprints of…

EXPOSED: An occupant exposure model for confined spaces to retrofit crowd models during a pandemic

Crowd models can be used for the simulation of people movement in the built environment. Crowd model outputs have been used for evaluating safety and comfort of pedestrians, inform crowd management and perform forensic investigations. Microscopic crowd models allow the representation of each person and the obtainment of information concerning their location over time and interactions with the physical space/other people. Pandemics such as COVID-19 have posed several questions on safe building usage, given the risk of disease transmission among building occupants. Here we show how crowd modelli…

Sustainable and resilient strategies for touristic cities against COVID-19: an agent-based approach

Touristic cities will suffer from COVID-19 emergency because of its economic impact on their communities. The first emergency phases involved a wide closure of such areas to support "social distancing" measures (i.e. travels limitation; lockdown of (over)crowd-prone activities). In the second phase, individual's risk-mitigation strategies (facial masks) could be properly linked to "social distancing" to ensure re-opening touristic cities to visitors. Simulation tools could support the effectiveness evaluation of risk-mitigation measures to look for an economic and social optimum for activities…