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    Wirtgen site safety push: proximity detection lessons for civil contractors

    November 27, 2025|

    Reviewed by Tom Sullivan

    Wirtgen site safety push: proximity detection lessons for civil contractors

    First reported on Roads & Infrastructure (AU)

    30 Second Briefing

    Wirtgen Group is expanding its safety programme by partnering with Strata Worldwide to deploy and refine Proximity Detection Systems (PDS) on road construction and civil sites, targeting interactions between mobile plant and ground personnel. The systems use machine-mounted sensors and personal tags to create configurable warning and exclusion zones around pavers, rollers and milling machines, aiming to intervene before contact incidents occur. With Safe Work Australia reporting vehicle incidents as 42 per cent of work-related deaths in 2024, contractors may see PDS increasingly treated as a critical control alongside traffic management plans.

    Technical Brief

    • For civil and construction contractors, PDS is emerging as a formal “critical control” alongside traffic separation plans.

    Our Take

    With Safe Work Australia attributing 42 per cent of 2024 work-related deaths to vehicle incidents, technology-led controls from OEMs like Wirtgen Group and Strata Worldwide are likely to be viewed by Australian principals as a way to demonstrate due diligence under WHS laws, not just as optional add-ons.

    Among the 81 Infrastructure stories in our database, relatively few Safety-tagged pieces focus on OEM-level engineering controls, so Wirtgen Group’s involvement signals that road and civil plant suppliers are starting to compete on embedded safety functionality rather than relying solely on procedural controls.

    For contractors featured across our 194 tag-matched Safety/Product/Projects items, integrating Wirtgen Group safety systems at fleet level could simplify compliance reporting to Safe Work Australia by generating machine-side data trails on proximity, access control, and operator behaviour.

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    Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.

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