TrafficBDE: Traffic Status Prediction in Urban Places using Neural Network Models

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 <http://trafficstatusprediction.imet.gr/> of the 'BigDataEurope' project <https://www.big-data-europe.eu/>. 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: 0.1.0
Imports: caret, data.table, dplyr, lubridate, neuralnet, RCurl, stats, zoo
Suggests: ggplot2, knitr, lattice, rmarkdown
Published: 2018-03-01
Author: Aikaterini Chatzopoulou [aut, cre], Kleanthis Koupidis [aut], Charalampos Bratsas [aut], Panagiotis Tzenos [dtc], Josep Maria Salanova [dtc]
Maintainer: Aikaterini Chatzopoulou <kchatzopoul at okfn.gr>
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

Downloads:

Reference manual: TrafficBDE.pdf
Vignettes: Getting started with 'TrafficBDE'
Package source: TrafficBDE_0.1.0.tar.gz
Windows binaries: r-prerel: TrafficBDE_0.1.0.zip, r-release: TrafficBDE_0.1.0.zip, r-oldrel: TrafficBDE_0.1.0.zip
OS X binaries: r-prerel: TrafficBDE_0.1.0.tgz, r-release: TrafficBDE_0.1.0.tgz

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