kStepsForward

This function predictes the wanted value after k steps.

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.

Kleanthis Koupidis

TrafficBDE

Traffic Predictions Using Neural Networks

kStepsForward function

<dl><dt>Data</dt>
<dd>A data frame with the historical data</dd>
<dt>Link_id</dt>
<dd>A character with the id of the road needed</dd>
<dt>direction</dt>
<dd>The direction of the road</dd>
<dt>datetime</dt>
<dd>The datetime wanted</dd>
<dt>predict</dt>
<dd>The value to be predicted</dd>
<dt>steps</dt>
<dd>The number of steps</dd></dl>

Arguments

Aikaterini Chatzopoulou, Kleanthis Koupidis, Charalampos Bratsas

Author

k Steps Forward — kStepsForward

<dl>

<dt>Data</dt>
<dd>A data frame with the historical data</dd>


<dt>Link_id</dt>
<dd>A character with the id of the road needed</dd>


<dt>direction</dt>
<dd>The direction of the road</dd>


<dt>datetime</dt>
<dd>The datetime wanted</dd>


<dt>predict</dt>
<dd>The value to be predicted</dd>


<dt>steps</dt>
<dd>The number of steps</dd>

</dl>

kStepsForward: k Steps Forward

Description

Usage

Value

Arguments

Author

Details

See Also

Examples