Toward unraveling airborne pathogen transmission in crowds: Parameter study for an agent-based exposure model
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 …
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 …
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
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 …
fundamental scientific insights into systems of self-driven particles. Trajectory data describes …
HyPedSim: A Multi-Level Crowd-Simulation Framework—Methodology, Calibration, and Validation
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 …
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 …
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
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 …
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 …
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 …
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 …
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 …
availability and use of water in agriculture. The hydrological model generates a water …