Report

NACOE S26: Virtual WiM – Enriching WiM and Enhancing Decisions (2018–21)

Authors
Dr Charles Karl
Kenneth Lewis
Dr Robert Heywood
Duncan Ward
Edward Dann
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NACOE project S26, Virtual WiM – Enriching WiM and Enhancing Decisions identified opportunities for Queensland Department of Transport and Main Roads (TMR) to add value to investments by both TMR and the heavy vehicle transport industry. The project used recent developments in data analytics to link weigh-in-motion (WiM) data with other heavy vehicle datasets to generate new ‘virtual WiM’ or vWiM datasets. The vWiM approach enhances data quality, coverage, accessibility, application, and value of TMR’s existing WiM datasets (Figure S 1). The value of vWiM is generated through better evidence-based decisions relating to the $billions invested in transportation and infrastructure made every year while supporting safe productive access to TMR’s infrastructure.

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