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Huu-Tu DANG
Huu-Tu DANG
Toulouse 1 University Capitole
Verified email at irit.fr
Title
Cited by
Cited by
Year
Predicting pedestrian trajectories at different densities: A multi-criteria empirical analysis
R Korbmacher, HT Dang, A Tordeux
Physica A: Statistical Mechanics and its Applications 634, 129440, 2024
82024
A literature review of dense crowd simulation
HT Dang, B Gaudou, N Verstaevel
Simulation Modelling Practice and Theory, 102955, 2024
62024
TTC-SLSTM: Human trajectory prediction using time-to-collision interaction energy
HT Dang, R Korbmacher, A Tordeux, B Gaudou, N Verstaevel
2023 15th International Conference on Knowledge and Systems Engineering (KSE …, 2023
52023
Empirical Comparison of Different Pedestrian Trajectory Prediction Methods at High Densities
R Korbmacher, T Dang-Huu, A Tordeux, N Verstaevel, B Gaudou
14th International Conference On Traffic And Granular Flow (TGF) 2022, 231-238, 2022
5*2022
An agent-based model for mixed traffic in Vietnam based on virtual local lanes
T Dang-Huu, B Gaudou, D Nguyen-Ngoc, NC Lê
2020 12th International Conference on Knowledge and Systems Engineering (KSE …, 2020
42020
CityScope Hanoi: interactive simulation for water management in the Bac Hung Hai irrigation system
A Grignard, T Nguyen-Huu, B Gaudou, D Nguyen-Ngoc, A Brugière, ...
2020 12th International Conference on Knowledge and Systems Engineering (KSE …, 2020
32020
A multi-level density-based crowd simulation architecture
HT Dang, B Gaudou, N Verstaevel
International Conference on Practical Applications of Agents and Multi-Agent …, 2023
22023
Multi-agent modelling of dense crowd dynamics (MADRAS): Application to the festival of lights (lyon)
M Chraibi, J Cordes, HT Dang, O Dufour, B Gaudou, R Korbmacher, ...
11th international conference on pedestrian and evacuation dynamics (PED2023), 2023
12023
HyPedSim: Un framework pour la simulation multi-niveau de foules denses
HT Dang, B Gaudou, N Verstaevel
Les 32èmes Journées Francophones sur les Systèmes Multi-Agents (JFSMA 2024), 2024
2024
Dense Crowd Dynamics and Pedestrian Trajectories: A Multiscale Field Study at the F\^ ete des Lumi\eres in Lyon
O Dufour, HT Dang, J Cordes, R Korbmacher, G Benoit, M Chraibi, ...
arXiv preprint arXiv:2410.05288, 2024
2024
Improving Pedestrian Dynamics Predictions Using Neighboring Factors
HT Dang, B Gaudou, N Verstaevel
Collective Dynamics 9, 1-8, 2024
2024
HyPedSim: A Multi-Level Crowd-Simulation Framework—Methodology, Calibration, and Validation
HT Dang, B Gaudou, N Verstaevel
Sensors 24 (5), 1639, 2024
2024
Using time-to-collision in the loss function of deep learning algorithm to improve pedestrian trajectory predictions
R Korbmacher, HT Dang, A Tordeux
11th International Conference on Pedestrian and Evacuation Dynamics (PED 2023), 2023
2023
Empirical analysis on external factors affecting pedestrian dynamics in high-density situations
HT Dang, B Gaudou, N Verstaevel
11th International Conference on Pedestrian and Evacuation Dynamics (PED 2023), 2023
2023
Gampy: a fast plugin for integration of Python-based deep-learning models to the GAMA platform
HT Dang, B Gaudou, N Verstaevel
2nd conference GAMA Days 2022, 2022
2022
Using synthetic data to improve performance of data-driven algorithms in high density pedestrian situations
R Korbmacher, HT Dang, A Tordeux, B Gaudou, N Verstaevel
2nd conference GAMA Days 2022, 2022
2022
A modular framework for multi-behavior and multi-scale simulation of pedestrians
HT Dang, B Gaudou, N Verstaevel
2nd conference GAMA Days 2022, 2022
2022
COMOKIT-Region: A simple agent-based method for understanding large-scale Covid-19 transmission risk between regions
D Nguyen-Ngoc, D Ngo, HT Dang
1st conference GAMA Days 2021, 2021
2021
Mixed-traffic agent-based simulation based on Bezier curve
NC Lê, B Gaudou, D Nguyen-Ngoc, HT Dang, D Ngo
GAMA Days 2021, 2021
2021
Mô hình mô phỏng đa tác tử và ứng dụng
ĐH Tú
Trường đại học Bách Khoa Hà Nội, 2021
2021
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