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Data Collection Ltd - ROMDAS Elite Survey Vehicle with LCMS

• Lane tracking for enhancing Roughness and Rut Depth repeatability

• Automatic Pavement defect detection for RAMM Condition Surveys

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DData Collection Ltd - ROMDAS Elite Survey Vehicle with LCMS

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DLCMS Principal of Operation

• Invisible high speed scanning laser fires at pavement surface

• Acquires full 4 m width profiles of a lane at normal traffic speed every 5 mm

• Capture in both full daylight or in night time conditions

• Automatic detection of a number of pavement defects

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DLCMS Data Output

The following data are output from the LCMS:• Roughness - IRI in two adjustable wheelpaths• Cracking –length, width, depth• Rutting-depth, width, cross-sectional area, type• Macro-Texture-MPD in 5 lines or bands across

the lane• Potholes – depth, area• Raveling Other Outputs:• JPEG imaging with Defect overlay• 3D imaging

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DFactors affecting Roughness Data Collection

Variation of roughness data may be explained by a number of issues such as

• Equipment related variation• Tracking – lateral wander – of vehicle during data

collection• Distance and equipment calibration error• Operator errors• Location referencing errors (both of roughness

data collection and defect records)

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DExample of the effects of Lane wander

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DExample of the effects of Lane wander

LWP IRI value for section3.44 IRI 90 NAASRA

LWP IRI value for section7.87 IRI207 NAASRA

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DLane Wander

Results depend on the trajectory of the vehicle (subject to variation based on driver’s ability)

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DLCMS Lane Tracking System

Classic system: Results depend on the trajectory of the vehicle (subject to variation based on driver’s ability)

LCMS system: Erratic trajectory of the vehicle will still result in straight elevation profiles, and the same profiles in subsequent surveys

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DPavemetrics Data for Effect of Lane Tracking

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DRut Depth Measurement with Scanning Laser

The accuracy of rutting measurements depends upon two operational factors:

• Vehicle position on the road (lateral placement); and,

• The ability to locate the high and low points in the profile measured.

Transfund report - Harmonising Automated Rut Depth Measurements

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DRAMM Condition Rating

• on a portion of the network not 100%. • rating can be somewhat subjective and

reliant on the interpretation of the inspector.

• safety aspects of having raters on the road or road edge.

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DCrack Image with Defect Overlay

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DPavemetrics Crack Detection Repeatability Data – Australia

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DRAMM Condition Rating Attributes able to be measured by LCMS

• Rutting• Shoving• Cracking – Alligator cracks• Cracking - Longitudinal / Transverse• Cracking - Joint Cracks• Potholes

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DROMDAS Elite with LCMS System

• By using the Lane tracking technology all datasets are unaffected by the vehicle wander during survey.

• Great potential to use the automatic defect detection to supplement RAMM Condition rating surveys