Software used in the publication "A Non-parametric Bayesian Network for multivariate probabilistic modelling of Weigh-in-Motion System Data”
doi:10.4121/21922020.v1
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doi: 10.4121/21922020
doi: 10.4121/21922020
Datacite citation style:
Miguel Mendoza Lugo; Morales Napoles, Oswaldo; David Joaquín Delgado Hernández (2023): Software used in the publication "A Non-parametric Bayesian Network for multivariate probabilistic modelling of Weigh-in-Motion System Data”. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/21922020.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
usage stats
429
views
124
downloads
licence
GPL-3.0
The sofware is called WIM NPBN, it is a Graphical User Interface to compute synthetic Weigh-in-Motion (WIM) axle loads and inter-axle distances of 26 vehicle types using a Non-Parametric Bayesian Network (NPBN). The model is based on measurements that were taken in Dutch highways A12 (km 42) Woerden, A15 (km 92) Gorinchem, and A16 (km 41) Gravendeel.
history
- 2023-01-23 first online, published, posted
publisher
4TU.ResearchData
format
executable zipped (rar) file
associated peer-reviewed publication
A Non-parametric Bayesian Network for multivariate probabilistic modelling of Weigh-in-Motion System Data
references
funding
- Mexican National Council for Science and Technology (CONACYT) scholarship 2019-000021-01EXTF-00
organizations
TU Delft, Faculty of Civil Engineering & Geosciences, Department of Hydraulic Engineering, Autonomous University of the State of Mexico.
DATA
files (1)
- 227,581,464 bytesMD5:
0af670db782e536ea9531008103f618e
WIM_NPBN_GUI.rar -
download all files (zip)
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