Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Le-Minh Kieu"'
Autor:
Dang Minh Tan, Le-Minh Kieu
Publikováno v:
IATSS Research, Vol 47, Iss 4, Pp 468-481 (2023)
This paper introduces a new visual dataset and framework to facilitate computer-vision-based traffic monitoring in high density, mixed and lane-free traffic (TRAMON). While there are advanced deep learning algorithms that can detect and track vehicle
Externí odkaz:
https://doaj.org/article/0249039c8c7141a9b3926a240386e666
Autor:
Vijay Kumar, Alison Heppenstall, Nick Malleson, Le-Minh Kieu, Jonathan A Ward, Patricia Ternes
Publikováno v:
Open Research Europe, Vol 1 (2022)
This paper explores the use of a particle filter—a data assimilation method—to incorporate real-time data into an agent-based model. We apply the method to a simulation of real pedestrians moving through the concourse of Grand Central Terminal in
Externí odkaz:
https://doaj.org/article/c3e45988b0a94007b2ea5484abc89106
Publikováno v:
Royal Society Open Science, Vol 7, Iss 1 (2020)
Agent-based models (ABMs) are gaining traction as one of the most powerful modelling tools within the social sciences. They are particularly suited to simulating complex systems. Despite many methodological advances within ABM, one of the major drawb
Externí odkaz:
https://doaj.org/article/109b277b1aef41659b2b105e3f8972ad
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Tran, Nguyen Le Huong, Ly, Nhung Thi My, Trinh, Hoang Kim Tu, Le, Minh Kieu, Vo, Niem Van Thanh, Pham, Duy Le
Publikováno v:
International Archives of Allergy & Immunology; 2024, Vol. 185 Issue 1, p43-55, 13p
Publikováno v:
Transportation Research Part C: Emerging Technologies. 114:377-390
© 2020 Elsevier Ltd Customer booking prediction is essential for On-Demand Transport services, especially for those in rural and suburban areas where the demand is low, variable and often regarded as unpredictable. Existing literature tends to focus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18b1890e7a7db906fbf4f85ff5d22d62
https://doi.org/10.1016/j.trc.2020.02.010
https://doi.org/10.1016/j.trc.2020.02.010
Publikováno v:
Journal of Transportation Engineering, Part A: Systems. 148
This study examined variations in travel time through a random-effects model using Wi-Fi and Bluetooth data. Previous studies mainly divided a day into discrete time windows and estimated a...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fea20a66ce60c04f1738966f3af9f1b1
https://doi.org/10.1061/jtepbs.0000624
https://doi.org/10.1061/jtepbs.0000624
Publikováno v:
Simulation Modelling Practice and Theory
Commonly-used data assimilation methods are being adapted for use with agent-based models with the aim of allowing optimisation in response to new data in real-time. However, existing methods face difficulties working with categorical parameters, whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5e4ebdc28e6db1744c673e582f6944c
https://eprints.whiterose.ac.uk/179696/1/AAMOct21.pdf
https://eprints.whiterose.ac.uk/179696/1/AAMOct21.pdf
Autor:
Nick Malleson, Jonathan A. Ward, Le Minh Kieu, Patricia Ternes, Alison Heppenstall, Vijay Kumar
Publikováno v:
Open Research Europe
This paper explores the use of a particle filter—a data assimilation method—to incorporate real-time data into an agent-based model. We apply the method to a simulation of real pedestrians moving through the concourse of Grand Central Terminal in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed315a54aee381b48c3976319e5287e5
https://zenodo.org/record/6954048
https://zenodo.org/record/6954048