augment_roads

Adds predicted traffic outcomes (e.g. speed or volume) and
relative congestion measures to a road network.

Tools for simulating and modeling traffic flow on road networks
using spatial conditional autoregressive (CAR) models. The package
represents road systems as graphs derived from 'OpenStreetMap' data
<https://www.openstreetmap.org/> and
supports network-based spatial dependence, basic preprocessing, and
visualization for spatial traffic analysis.

Madison Ell

trafficCAR

Bayesian CAR Models for Road-Segment Traffic

augment_roads function

<dl><dt>fit</dt>
<dd>a `traffic_fit` object from `fit_traffic()`.</dd>
<dt>roads</dt>
<dd>an sf object or data.frame with a segment id column.</dd>
<dt>probs</dt>
<dd>length-2 numeric for equal-tail intervals.</dd>
<dt>keep_geometry</dt>
<dd>logical; if FALSE drops sf geometry.</dd></dl>

Arguments

Augment roads with predicted traffic quantities — augment_roads

<dl>

<dt>fit</dt>
<dd>a `traffic_fit` object from `fit_traffic()`.</dd>


<dt>roads</dt>
<dd>an sf object or data.frame with a segment id column.</dd>


<dt>probs</dt>
<dd>length-2 numeric for equal-tail intervals.</dd>


<dt>keep_geometry</dt>
<dd>logical; if FALSE drops sf geometry.</dd>

</dl>

augment_roads: Augment roads with predicted traffic quantities

Description

Usage

Value

Arguments