[HTML][HTML] Data collection methods for studying pedestrian behaviour: A systematic review
Collecting pedestrian behaviour data is vital to understand pedestrian behaviour. This
systematic review of 147 studies aims to determine the capability of contemporary data …
systematic review of 147 studies aims to determine the capability of contemporary data …
Review of pedestrian trajectory prediction methods: Comparing deep learning and knowledge-based approaches
R Korbmacher, A Tordeux - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
In crowd scenarios, predicting trajectories of pedestrians is a complex and challenging task
depending on many external factors. The topology of the scene and the interactions …
depending on many external factors. The topology of the scene and the interactions …
[HTML][HTML] Modelling aerosol transport and virus exposure with numerical simulations in relation to SARS-CoV-2 transmission by inhalation indoors
V Vuorinen, M Aarnio, M Alava, V Alopaeus… - Safety science, 2020 - Elsevier
We provide research findings on the physics of aerosol and droplet dispersion relevant to
the hypothesized aerosol transmission of SARS-CoV-2 during the current pandemic. We …
the hypothesized aerosol transmission of SARS-CoV-2 during the current pandemic. We …
Spatio-temporal graph transformer networks for pedestrian trajectory prediction
Understanding crowd motion dynamics is critical to real-world applications, eg, surveillance
systems and autonomous driving. This is challenging because it requires effectively …
systems and autonomous driving. This is challenging because it requires effectively …
Sr-lstm: State refinement for lstm towards pedestrian trajectory prediction
In crowd scenarios, reliable trajectory prediction of pedestrians requires insightful
understanding of their social behaviors. These behaviors have been well investigated by …
understanding of their social behaviors. These behaviors have been well investigated by …
Microscopic traffic modeling inside intersections: interactions between drivers
Microscopic traffic flow models enable predictions of traffic operations, which allows traffic
engineers to assess the efficiency and safety effects of roadway designs. Modeling vehicle …
engineers to assess the efficiency and safety effects of roadway designs. Modeling vehicle …
Crowd behaviour and motion: Empirical methods
Introduction The safety of humans in crowded environments has been recognised as an
important and rapidly growing research area with significant implications for urban planning …
important and rapidly growing research area with significant implications for urban planning …
The complexities of agent-based modeling output analysis
The proliferation of agent-based models (ABMs) in recent decades has motivated model
practitioners to improve the transparency, replicability, and trust in results derived from …
practitioners to improve the transparency, replicability, and trust in results derived from …
The walking behaviour of pedestrian social groups and its impact on crowd dynamics
Human crowd motion is mainly driven by self-organized processes based on local
interactions among pedestrians. While most studies of crowd behaviour consider only …
interactions among pedestrians. While most studies of crowd behaviour consider only …
State-of-the-art crowd motion simulation models
DC Duives, W Daamen, SP Hoogendoorn - Transportation research part C …, 2013 - Elsevier
Currently, pedestrian simulation models are used to predict where, when and why
hazardous high density crowd movements arise. However, it is questionable whether …
hazardous high density crowd movements arise. However, it is questionable whether …