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Road Science operates a fleet of high-speed data surveying vehicles, including the first-generation Hawkeye 1000 and next-generation Hawkeye 1000 models. 

These state-of-the-art vehicles are manned by Road Science’s team of highly skilled technicians, who conduct road surveys across New Zealand with exceptional precision.

The Hawkeyes are equipped with the latest laser profiler technology, ensuring continuous, real-time collection of accurate road and pavement data. This data is integrated with GPS or distance-based instruments, and our Class 1 laser profilers—the most accurate type—are capable of measuring road texture according to AG:AM/T013 and roughness per AG:AM/T001 standards.

Key Features and Benefits:

  • Advanced GipsiTrac geometry module captures horizontal and vertical curvature, camber, and superelevation, providing valuable geometric data to support high-value treatment decisions
  • Pre- and post-construction testing with the ability to report roughness in both NAASRA units and International Roughness Index (IRI)
  • The Hawkeye processing toolkit software allows for rapid review, editing, and processing of survey data, enabling quick comparisons across multiple results. The data can then be seamlessly exported to pavement and asset management systems
  • Detailed site analysis using zoom and measurement tools for reviewing processed surveys
  • International standard compliance including:
    • ASTM E950: Longitudinal profile
    • AASHTO PP37: Pavement roughness
    • ASTM E1845: Pavement macrotexture
    • ISO 13473: Mean Profile Depth (MPD)


Why choose our Hawkeye survey vehicles?

  • Accurate, real-time data enabling better decision-making and asset management
  • From road geometry to roughness and texture, the Hawkeye delivers a complete picture of road conditions
  • Our advanced survey technology ensures your projects meet global standards compliance 
  • Road Science’s Hawkeye vehicles are the ultimate tool for road profiling, delivering superior data to inform pavement design, maintenance, and management decisions.

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Nikhil Vishwanath

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