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    Cohda–Spectrum FiftyNine V2X at Oyu Tolgoi: safety and traffic insights for mine engineers

    March 6, 2026|

    Reviewed by Joe Ashwell

    First reported on International Mining – News

    30 Second Briefing

    Cohda Wireless and Spectrum FiftyNine are deploying compact V2X (Vehicle-to-Everything) modules at Rio Tinto’s Oyu Tolgoi underground mine in Mongolia to deliver real-time proximity awareness between heavy vehicles and personnel. The system integrates Cohda’s V2X software stack with Spectrum FiftyNine’s low-profile hardware, Roobuck cap lamps and Maptek’s mine planning and visualisation tools to create a unified situational awareness layer. For geotechnical and operations teams, this enables tighter traffic management in constrained headings and declines without relying solely on line-of-sight or radio voice calls.

    Technical Brief

    • Proximity alerts are automated, reducing dependence on manual radio protocols and operator line-of-sight judgement in headings.
    • Integration across vehicle hardware, personal lamps and planning software enables a single, mine-wide safety data layer.
    • Similar V2X stacks could be extended to geotechnical hazard zones, automatically warning crews approaching exclusion areas.

    Our Take

    Among the 2129 tag-matched pieces in our database, relatively few ‘Safety’ items focus on V2X-style communications, so deploying this at Oyu Tolgoi positions Cohda Wireless and partners at the more advanced end of mine traffic and collision-avoidance systems.

    Maptek’s presence in multiple ‘Projects’ and ‘Product’ stories in our Mining corpus suggests this collaboration could ease integration of V2X data into existing mine planning and fleet management workflows, rather than creating a standalone safety silo.

    Using Oyu Tolgoi as a proving ground gives Spectrum FiftyNine and Roobuck a high-profile reference site; in our coverage, technologies validated at large, complex operations tend to be fast-tracked for adoption in other tier-one mines seeking demonstrable safety gains.

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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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