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AP-G84/04 Best practice in road use data collection, analysis ... - WIM

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Accessed by AR - ARRB TRANSPORT RESEARCH on <strong>04</strong> Feb 2005<br />

Aust<strong>road</strong>s 20<strong>04</strong><br />

— 25 —<br />

<strong>Best</strong> Practices <strong>in</strong> Road Use Data Collection, Analysis and Report<strong>in</strong>g<br />

Frequency of Sampl<strong>in</strong>g<br />

The issue of frequency of traffic counts relates <strong>in</strong> particular to the frequency at which short-term<br />

counts are conducted at specific sites. In determ<strong>in</strong><strong>in</strong>g the frequency of <strong>data</strong> <strong>collection</strong>, a <strong>road</strong><br />

authority will need to consider the rate of change of values of particular <strong>data</strong> types. The accuracy,<br />

quality and currency of the <strong>data</strong> should be determ<strong>in</strong>ed with reference to the cost of collect<strong>in</strong>g those<br />

<strong>data</strong> and the value and benefit of that <strong>data</strong> (Western European Road Directorate 2003). The issues<br />

are summarised as follows:<br />

With<strong>in</strong> a year – number of sampl<strong>in</strong>g periods, e.g. once, twice or more times per year;<br />

duration of each sampl<strong>in</strong>g period, e.g. 1 h, 1 day, 1 week or more; when to survey, e.g.<br />

randomly, outside school holidays or at each season; consistency with previous surveys;<br />

Between years – predictability and consistency of traffic growth; predictability and<br />

consistency of factors lead<strong>in</strong>g to traffic growth; existence or otherwise of commodity <strong>in</strong> traffic<br />

flows between areas or <strong>road</strong> types, e.g. rural versus urban or National Highways versus ma<strong>in</strong><br />

<strong>road</strong>s;<br />

External demands – <strong>in</strong>ternal <strong>road</strong> authority requirement; external government agency<br />

requirements; political or public relations demands.<br />

The frequency of collect<strong>in</strong>g short-term traffic counts varies amongst RAs. The current <strong>practice</strong>s<br />

range from a frequency of a sample once every year to as <strong>in</strong>frequent as ten years apart. Most RAs<br />

sample at a frequency of once every two to three years. With<strong>in</strong> this sample program, one half or<br />

one third of the sites are sampled <strong>in</strong> any year, result<strong>in</strong>g <strong>in</strong> all sites covered over a two to three year<br />

cycle (described as a ‘roll<strong>in</strong>g’ program). Increas<strong>in</strong>g budgetary pressures are lead<strong>in</strong>g RAs to lower<br />

<strong>collection</strong> frequencies, e.g. from three to four years to five to six years <strong>in</strong> South Australia.<br />

Further ‘f<strong>in</strong>e-tun<strong>in</strong>g’ is applied with<strong>in</strong> a sampl<strong>in</strong>g frequency regime, by differentiat<strong>in</strong>g between<br />

classes of <strong>road</strong> (urban and rural) as well as with<strong>in</strong> classes of <strong>road</strong> (ma<strong>in</strong>ly rural). Thus, Western<br />

Australia reported a two year metropolitan cycle and a five year rural cycle while Tasmania<br />

reported sampl<strong>in</strong>g 100 sites every two years, 300 sites every five years and 450 sites every ten<br />

years.<br />

It is good <strong>practice</strong> that the sampl<strong>in</strong>g <strong>in</strong>terval should not extend beyond three years, under what can<br />

generally be described as ‘normal’ conditions. In <strong>practice</strong>, sampl<strong>in</strong>g frequency is a balance of<br />

costs and accuracy, and recognition of chang<strong>in</strong>g traffic conditions, best determ<strong>in</strong>ed by the <strong>use</strong>rs of<br />

the <strong>data</strong> themselves. As such, for rural <strong>road</strong>s where traffic counts hardly change, a ten year<br />

sampl<strong>in</strong>g frequency may be justifiable, as with some <strong>road</strong>s <strong>in</strong> Tasmania. This, of course, would not<br />

apply to rural <strong>road</strong>s closer to urban areas, where it is likely that conditions will change more rapidly.<br />

The local knowledge of RAs enables f<strong>in</strong>e tun<strong>in</strong>g with<strong>in</strong> portfolios of count stations, to achieve cost<br />

effectiveness <strong>in</strong> the count<strong>in</strong>g program.<br />

4.3.2 Def<strong>in</strong><strong>in</strong>g a Homogeneous Section<br />

Homogeneous sections are utilised to transpose AADTs calculated for specific survey locations, as<br />

part of the sample traffic count<strong>in</strong>g program, across to <strong>road</strong> sections <strong>in</strong> the total <strong>road</strong> network. By<br />

assign<strong>in</strong>g an AADT for each <strong>road</strong> section <strong>in</strong> the network, a calculation for VKT can be made,<br />

multiply<strong>in</strong>g the <strong>road</strong> section length by the AADT and add<strong>in</strong>g up across all <strong>road</strong> sections.<br />

Homogeneous sections are groups of <strong>road</strong>s or ‘strata’ or ‘uniform traffic segments’ (UTS), each of<br />

which <strong>in</strong>cludes a relatively large number of segments that can be regarded as a ‘population’ for<br />

statistical sampl<strong>in</strong>g. Homogeneous sections also relate to groups of <strong>road</strong>s to which adjustment<br />

factors, described earlier, can be applied. FHWA (2001) describes the creation of ‘factor groups’<br />

(similar to homogeneous sections) as follows:

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