TrafficBDE: Traffic Predictions Using Neural Networks

Estimate and return either the traffic speed or the car entries in the city of Thessaloniki using historical traffic data. It's used in transport pilot of the 'BigDataEurope' project. There are functions for processing these data, training a neural network, select the most appropriate model and predict the traffic speed or the car entries for a selected time date.

Version:	0.1.2
Depends:	R (≥ 3.5.0)
Imports:	caret, data.table, DescriptiveStats.OBeu, dplyr, lubridate, RCurl, stats, zoo
Suggests:	devtools, knitr, neuralnet, rmarkdown
Published:	2023-03-17
Author:	Kleanthis Koupidis [aut, cre], Aikaterini Chatzopoulou [aut], Charalampos Bratsas [aut], Panagiotis Tzenos [dtc], Josep Maria Salanova [dtc]
Maintainer:	Kleanthis Koupidis <koupidis.okfgr at gmail.com>
BugReports:	https://github.com/okgreece/TrafficBDE/issues
License:	GPL-2 | file LICENSE
URL:	https://github.com/okgreece/TrafficBDE
NeedsCompilation:	no
Materials:	README
CRAN checks:	TrafficBDE results

Documentation:

Reference manual:	TrafficBDE.pdf
Vignettes:	Getting started with 'TrafficBDE'

Downloads:

Package source:	TrafficBDE_0.1.2.tar.gz
Windows binaries:	r-devel: TrafficBDE_0.1.2.zip, r-release: TrafficBDE_0.1.2.zip, r-oldrel: TrafficBDE_0.1.2.zip
macOS binaries:	r-release (arm64): TrafficBDE_0.1.2.tgz, r-oldrel (arm64): TrafficBDE_0.1.2.tgz, r-release (x86_64): TrafficBDE_0.1.2.tgz, r-oldrel (x86_64): TrafficBDE_0.1.2.tgz
Old sources:	TrafficBDE archive

Linking:

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