Huu-Tu Dang

Huu-Tu Dang
Toulouse 1 Capitole University | UT1

Master of Science

About

12
Publications
1,400
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27
Citations

Publications

Publications (12)
Preprint
Full-text available
We present one of the first comprehensive field datasets capturing dense pedestrian dynamics across multiple scales, ranging from macroscopic crowd flows over distances of several hundred meters to microscopic individual trajectories, including approximately 7,000 recorded trajectories. The dataset also includes a sample of GPS traces, statistics o...
Article
Full-text available
Predicting pedestrian dynamics is a complex task as pedestrian speed is influenced by various external factors. This study investigates neighboring factors that can be used to improve pedestrian walking speed prediction accuracy in both low- and high-density scenarios. Different factors are proposed, including Mean Distance, Time-to-Collision, and...
Article
Full-text available
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 the density of the crowd. Microscopic models manage to mimic the dynamics at low densities, whereas mesoscopic models achieve better performances in dense situations. This...
Preprint
Full-text available
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 the density of the crowd. Microscopic models manage to mimic the dynamics at low densities, whereas mesoscopic models achieve better performances in dense situations. This...
Preprint
Full-text available
Predicting human trajectories is a challenging task due to the complexity of pedestrian behavior, which is influenced by external factors such as the scene's topology and interactions with other pedestrians. A special challenge arises from the dependence of the behaviour on the density of the scene. In the literature, deep learning algorithms show...
Chapter
Full-text available
Large-scale crowd phenomena are complex to model as the behaviour of pedestrians needs to be described at both strategic, tactical, and operational levels and is impacted by the density of the crowd. Microscopic models manage to mimic the dynamics at low densities, whereas mesoscopic models achieve better performances in dense situations. This pape...
Conference Paper
Full-text available
Irrigation systems contribute worldwide to the provision of a wide range of services on which the survival and well-being of humanity depend. They are of primary importance in Vietnam where about 90% of the water used is for irrigation and aquaculture and where agriculture is the largest employer and a major contributor to the national GDP and to t...
Conference Paper
Full-text available
The rapid urbanization and urban spread in developing countries create a huge number of challenges urban planners have to face. As an example, congestion has become a major issue in Vietnam and caused huge economic losses as well as an increase in air pollutant emissions. Tackling such an issue requires huge improvements in the city organization an...

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