Roadscanners Products for Intelligent Asset Management

Current and Future Challenges: Heavier Trucks, New Tyres, Autonomous Trucks and Platoon Driving, Climate Change and. LESS MONEY!!

Factors Affecting Lifetime of the Road I. Structural condition II. Functional condition III.Road Width, Geometry, Visual Guidance IV.Heavy Vehicles Using the Road V. Traffic Volume VI.Climatic Factors With a traffic speed of 80-100 km/hr, one bump has an effect on the pavement for almost 200 m

If and When Public Paved Road Network is Deteriorating Options, How to React: I. Accept the current situation, but do not want to change current practices in the pavement management processes. Just blame politicians II. Adopt New Technologies and Improved Practices of Paved Road Routine Maintenance and Pavement Design with a Goal to Improve the Productivity - then paved road condition can be maintained / improved with less resources. III: Influence the vehicles causing damages on the paved road network so that the deterioration / fatique rate will be reduced and annual paving costs will be reduced. Copyright Roadscanners 2017. All Rights Reserved.

TOOLS FOR SAVINGS: better maintenance practices, focused rehabilitation design, monitoring of road condition and seasonal change, proactive maintenance the use of road friendly vehicles

HOW TO MONITOR ROAD SURFACE CONDITION- OPTIONS: 1. Should we monitor only surface condition (=symptoms) 2. Or should we also monitor root causes of the surface condition problems (diagnostics) Copyright Roadscanners 2017. All Rights Reserved.

Economically Most Profitable Policy is Moving Towards Proactive Road Asset Management, ie. Reacting to Problems Before they Turn to Damages, Expensive to Repair AC strain 300 AC strain 500 Copyright Roadscanners 2017. All Rights Reserved.

NEW ROAD SURVEY TECHNOLOGIES Laser scanner (lidar) 3D accelerometers Digital video / IR techniques Ground Penetrating Radar Traffic Speed Deflectometer Copyright Roadscanners Oy 2017. All Rights Reserved.

Survey methods and parameters/variables that are used/tested for road condition diagnostics GPR -thickness -asphalt air voids content -moisture (saturation degree) -moisture susceptibility -frost & ice lense detection -cracking & microcracking -delamination Copyright Roadscanners 2017. All Rights Reserved.

Coreless GPR Diagnostics Wet cracks Dry cracks Damage inside asphalt due to thermal seggregation during the paving phase (not visual) High water content in the pavement Copyright Roadscanners 2016. All Rights Reserved.

Survey methods and parameters/variables that are used/tested for road condition diagnostics Laser Scanner (Lidar) - rut depth / rut depth increase - rutting mode - cracking (big cracks) - patches - road width / road widening - road paintings - verges & edge drops - ditch depths - clearance - winter maintenance monitoring - tunnel roof and walls - design parameters for CAD Copyright Roadscanners 2017. All Rights Reserved.

RUTTING INCREASE BASED DIAGNOSTICS 2015 2016 2016-2015

Monitoring Verges Verge height shown over lidar reflectivity data Cross section view

Survey methods and parameters/variables that are used/tested for road condition diagnostics 3D Accelerometers - acceleration in x,y,z - angular velocity x,y,z - roughness (IRI etc) also from gravel roads - cross fall (up to 60 km/h) - warping risk Source: Land Rover Copyright Roadscanners 2017. All Rights Reserved.

Time Example of Time Series Analysis After Data Alignement Track Geometry -Longitudinal Level 2013 2007 Developing problems Corrected problem Season-related problem

Survey methods and parameters/variables that are used/tested for road condition diagnostics TSD & Rolling Deflectometer - continuous deflections - Bearing capacity indexes (SCI, BCI, Strain) - Structure and subgrade moduli values Copyright Roadscanners 2017. All Rights Reserved.

Intelligent Asset Management: FTA PEHKO Pilot for Paved Roads 2017-2025 in Kemi-Tornio and Karstula Area Final goal: In 2025 paved road network will be in better shape and annual paving costs are 50% lower level compared to current cost level. Future annual paving cost goal: 140 mill +120 mill backlog= 260 (50%) = 130 mill /year (not including backlog repair costs and slightly increase maintenance costs)

PEHKO FINDINGS: ANNUAL RUT INCREASE IN KARSTULA AREA AND ANNUAL PAVING COSTS <2 /m/year 2-3 /m/year > 3 /m/year > 6 /m/year > 9 /m/year Paving budget backlog Focus first on these sections causing about 60% of the budget backlog Rut increase mm/year Copyright Roadscanners 2017 All Rights Reserved.

KARSTULA RUT INCREASE AND PAVING COST DISTRIBUTION 2015-2016 AND 2016-2017 Main Roads 2017-2018 2016-2017

Calculation of Annual Paving Costs - Karstula 2015-2016 total 1 920 000 2016-2017 total 1 337 000 Improvement: 46%!!

Why and How we can do it? Detailed surveys and analytical diagnostics based design LCA based solutions Thicker pavements Focused problem section repair Steel grids Drainage improvement Side ditches Private access road culvert Verge removal Better winter maintenance Reacting before cracks appear to the pavement Surface dressing against early phase fatique

BENEFITS OF THE NEW POLICIES / TECHNOLOGIES Better understanding of root causes of road damages Better road drainage maintenance management (new techniques) Better pavement design practises: Heavier measures focused on exact problem locations Optimised pavement thickness New structural solution for road over weak subgrades (steel grids) Enabling monitoring performance of new structures (learning process) Enabling proactive pavement maintenance policies Repaving before pavement looses its strength Longer pavement life times => Better roads and major savings with asset management costs

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