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
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
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

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
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)