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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 />

— 64 —<br />

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

<strong>AP</strong>PENDIX D – EXECUTIVE SUMMARY OF CURRENT AND FUTURE<br />

ROAD USE REPORT (RC2050-3)<br />

Scope:<br />

This Report documents a review of current and future needs for <strong>road</strong> <strong>use</strong> <strong>data</strong> cover<strong>in</strong>g the<br />

follow<strong>in</strong>g:<br />

identification of current <strong>road</strong> <strong>use</strong> <strong>data</strong> related to traffic volume and flow, traffic composition,<br />

weigh-<strong>in</strong>-motion and other <strong>road</strong> <strong>use</strong> characteristics;<br />

a discussion of the limitations of the current <strong>road</strong> <strong>use</strong> <strong>data</strong>;<br />

identification of future needs for <strong>road</strong> <strong>use</strong> <strong>data</strong> related to traffic volume and flow, traffic<br />

composition and other derived traffic parameters; and,<br />

a discussion of the issues aris<strong>in</strong>g from the capture of future <strong>road</strong> <strong>use</strong> <strong>data</strong>.<br />

This Report forms the next logical step <strong>in</strong> the process of develop<strong>in</strong>g the best <strong>practice</strong> <strong>in</strong> <strong>road</strong> <strong>use</strong><br />

<strong>data</strong> <strong>collection</strong>, <strong>analysis</strong> and its report<strong>in</strong>g.<br />

Outcomes:<br />

Current Road Use Data<br />

Current <strong>road</strong> <strong>use</strong> <strong>data</strong> <strong>collection</strong> <strong>practice</strong>s relat<strong>in</strong>g to traffic volume, flow, composition, weigh-<strong>in</strong>motion<br />

and other <strong>road</strong> characteristics across the States are <strong>in</strong>consistent beca<strong>use</strong> of differences <strong>in</strong><br />

the standards adopted, the budget allocations available, level of network coverage, specific State<br />

requirements and the technology <strong>use</strong>d.<br />

Future Road Use Data<br />

Traffic volume and flow are likely to rema<strong>in</strong> the basic <strong>in</strong>dicators of <strong>road</strong> <strong>use</strong> <strong>in</strong> the foreseeable<br />

future and it is expected that further advances <strong>in</strong> the technology available to measure volume and<br />

flow will cont<strong>in</strong>ue to evolve. Emphasis will be on improv<strong>in</strong>g measurement accuracy and vehicle<br />

classification across the network and ga<strong>in</strong><strong>in</strong>g the benefits from new technology for <strong>road</strong> <strong>use</strong> <strong>data</strong><br />

<strong>collection</strong> applications.<br />

The <strong>use</strong> of new technologies is likely to be <strong>in</strong>itially targeted towards heavily trafficked routes, major<br />

freight routes and other strategic routes of commercial or community value where the greatest<br />

potential exists to ga<strong>in</strong> additional value from the <strong>in</strong>creased knowledge of traffic flows.<br />

A <strong>road</strong> <strong>use</strong> <strong>data</strong> <strong>collection</strong> framework needs to be developed for the long-term, <strong>in</strong>clud<strong>in</strong>g storage<br />

and report<strong>in</strong>g standards and systems, implementation plans, audit and review mechanisms and<br />

long-term strategies.<br />

Improved def<strong>in</strong>ition of traffic composition through new technology will allow for greater detailed<br />

<strong>in</strong>formation about the characteristics of <strong>in</strong>dividual vehicles travell<strong>in</strong>g on the <strong>road</strong> network. This<br />

additional <strong>in</strong>formation could allow an expanded vehicle classification system to be developed. This<br />

detailed <strong>in</strong>formation could be <strong>use</strong>d for enforcement and regulatory purposes, if it is acceptable.<br />

Issues of privacy and access to this form of detailed <strong>data</strong> are likely to restrict this <strong>use</strong> of the <strong>data</strong>.

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