Toward unraveling airborne pathogen transmission in crowds: Parameter study for an agent-based exposure model

S Rahn, G Köster, HJ Bungartz - Safety Science, 2024 - Elsevier
Abstract The coronavirus disease 2019 (COVID-19) pandemic has put forth the integration of
pathogen transmission into microscopic crowd models to simulate the exposure risk for …

[HTML][HTML] Real-time RSET prediction across three types of geometries and simulation training dataset: A comparative study of machine learning models

O Uhlík, P Okřinová, A Tokarevskikh, T Apeltauer… - Developments in the …, 2024 - Elsevier
Agent-based evacuation models provide useful data of the evacuation process, but they are
not primarily designed for use during an emergency. The paper aims to test predicting RSET …

[HTML][HTML] Unsupervised pattern and outlier detection for pedestrian trajectories using diffusion maps

F Zeng, N Bode, T Gross, M Homer - Physica A: Statistical Mechanics and …, 2024 - Elsevier
The movement of pedestrian crowds is studied both for real-world applications and to gain
fundamental scientific insights into systems of self-driven particles. Trajectory data describes …

HyPedSim: A Multi-Level Crowd-Simulation Framework—Methodology, Calibration, and Validation

HT Dang, B Gaudou, N Verstaevel - Sensors, 2024 - mdpi.com
Large-scale crowd phenomena are complex to model because the behaviour of pedestrians
needs to be described at both strategic, tactical, and operational levels and is impacted by …

Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making

P Andelfinger, JN Kreikemeyer - International Conference on …, 2024 - Springer
Recently proposed gradient estimators enable gradient descent over stochastic programs
with discrete jumps in the response surface, which are not covered by automatic …

Parameter estimation from aggregate observations: a Wasserstein distance-based sequential Monte Carlo sampler

C Cheng, L Wen, J Li - Royal Society Open Science, 2023 - royalsocietypublishing.org
In this work, we study systems consisting of a group of moving particles. In such systems,
often some important parameters are unknown and have to be estimated from observed …

[PDF][PDF] Calibration of pedestrian sizes in decision-based modelling

J Vacková, M Bukácek - The Fire and Evacuation …, 2022 - files.thunderheadeng.com
Calibration Of Pedestrian Sizes In Decision-Based Modelling Page 1 Calibration Of Pedestrian
Sizes In Decision-Based Modelling Jana Vacková, Marek Bukácek Faculty of Nuclear …

Review of Agent-Based Evacuation Models in Python

J Janda, K Štekerová - EPIA Conference on Artificial Intelligence, 2023 - Springer
The aim of this paper is to explore agent-based evacuation models in Python by conducting
a systematic literature search using the PRISMA methodology. The principles of evacuation …

Calibration of Decision-Based Crowd-Behaviour Model

J Vacková, M Bukáček - Collective Dynamics, 2024 - collective-dynamics.eu
Various methods of calibration are used depending on the model type, application, and
individual preferences. While there is no universally applicable method, statistical …

Bayesian Network for Hydrological Model: an inference approach

VP Ribeiro, ÂSM Cunha, SN Duarte… - … Joint Conference on …, 2022 - ieeexplore.ieee.org
According to the Food and Agriculture Organisation, there are growing concerns about the
availability and use of water in agriculture. The hydrological model generates a water …