Adopting-smart_technology_for_enhancing_road_asset_performance_and_benchmarking

Adopting smart technology for
enhancing road asset performance
monitoring and benchmarking
Public Sector Asset Management Conference 2016, IQPC, Sydney
Ashish Shah
Road Asset Management Program Leader, Logan City Council
16 Aug 2016
Adopting smart technology for enhancing road
asset performance monitoring and
benchmarking

2Doc Name | Date
• Smart/ #Open Data
• Sharing Economy/ IoT/ Smart Cities
• Smart Communities / community sourcing – enabler e.g. GovHack
Adopting Smart Technology including…
• Optimisation, integration – multi functional
• Data analytics
• Utilisation/ Demand/ Fit for purpose/ Level of Service
Asset Performance Monitoring
• ISO 55000 alignment
• Cross industry sector advancement
Balancing/ Benchmarking (Performance, Cost and Risk)
This morning….

Context
3Adopting smart technology for enhancing asset management | August 2016
enhancing road asset
performance monitoring and
benchmarking

Logan City Council
4Doc Name | Date

Logan City Council
• More than 300,000
residents
• 215 different cultures
• 68 suburbs
• 12 Council divisions
• 957 square km
5Doc Name | Date
• 5th largest Local Government
in Australia (by population)
• 2015/2016 budget - $839.8M
• 6.2 billion in assets
• 1700 staff
• 29 branches

Growth aspects in Logan
Doc Name | Date 7

Discussion points
benchmarking

Context – smart technology
Smart cities/ smart communities in Knowledge/Digital
economy
Smart infrastructure and devices - anything “material” that aids
faster, more reliable connectivity, computer processing and
information exchange.
• It includes fixed line, mobile, wireless / WiFi and data centre
services, as well as the tools required to plan and implement
enhanced digital infrastructure.
Smart capacity - is raising the level of digital skills of the people in the
community so that they can boost creativity, knowledge sharing and
experimentation.
Smart innovation - is driving the digital economy with new digital
applications, services, community enterprise, job creation and
economic growth.

To list a few
• Location intelligence
• GPS, GIS
• Smart phone
• IoT
• Innovation/ Paradigm Shift to Sharing Economy
• Openness to connect/ cloud storage/ cloud computing
• Google, Microsoft, Apple
• LinkedIn, Facebook, Airbnb, Uber, Tesla
• 3D printing

To list a few…..
• Digital modelling and transformation
• Computing advancement – Mobile devices
• Tablets, smartphones and enhanced processing power
• Wearables
• Artificial intelligence
• Virtual/ augmented reality
• Open Data
• Enabler for innovation, collaboration and optimisation

Smartphone now 6 year old*
I am one of the 7.3 million Australian smartphone owners
who agree with the statement "I can't live without my mobile
phone", up 55 per cent in the past five years, according to
research firm Roy Morgan.
Digital adaptation enabler - SmartPhone

Come back to physical world - Roads
benchmarking

Enabler of our physical world needs
• The Australian road network covers more than
817,000 kilometres.
• Approximate 657,000 kilometres are controlled by
local government - although state-controlled roads
account for about three quarters of all vehicle
kilometres travelled.
• There are more than 37,000 road bridges across
Australia.

Roads in our life
Road Length in kilometres (approx)*
Australia Wide 817,000
Transport & Main Roads Queensland (TMR-QLD) 34,000
Main Roads.
Western Australia
18,000
Road Transport Authority, New South Wales
(RTA, NSW)
40,000
Main Roads,
Victoria (VicRoads)
23,000
Dept. of Transport,
Energy & Infrastructure,
South Australia
23,000

LG Roads
Road Length in km (approx)*
Australia Wide Local Govt 657,000
Logan City Council 2160
Gold Coast City Council 3200
Brisbane City Council 5600

Roads in LG Context
• In 2009-10, Local Government had $302b of land and fixed assets
including $187b of local roads and $26b of buildings, but only
$32b in revenue with which to maintain them (ABS Cat 5512.0)
• This means local government needs to be expert in driving,
innovating and adopting advancement in asset management
• Vertical balance among other vital Council assets and services
• Horizontal balance among the road asset classes

Logan’s Roads Infrastructure ($2b RV)
• 2,160 km of sealed roads
• 95 km of unsealed roads
• 245 km of bikeways
• 1,129 km of footpaths
• 29,262 street lights
• 4 flood gauge cameras and
33 telemetry sites
• 116 traffic signals
• 45+ road bridges#
Doc Name | Date 19
• 1,156 km of stormwater
pipe and culvert network
• 22 Km of stormwater
open channel
• 348 bus stops with
shelters and 81 bus stops
with seats, 1110 active
bus stops all together
• 327 public car parks

Total Program FTE = 15 permanent plus 5 temps
Program “recurrent” Budget = $ 8.02M
Program Capital Budget = $ 36M
Key services delivered:
• Strategic and Tactical Road Asset Management, Financial
Reporting and Valuation
• Road Infrastructure Renewal Planning
• Road Asset Data, Specification and Information Management
Systems
• Smart City Initiatives, Coordination and Public Lighting
<PHOTO HERE>
Road Asset Management

• Smart cities initiatives and coordination
• Asset system harmonisation / transformation,
harmonisation of Austroads Road Data Standard
• Data data interoperability
• Growth and depreciating assets (annual $38 M
for Roads and Drainage), financial and asset
sustainability
• Optimised asset renewals and utilisation/ integration,
asset service level demand and standards
• Advancement of Asset Management (Building
Information Modelling – Infrastructure, ADAC, BigData,
OpenData)
• ISO 55000 asset management system alignment
Key drivers

Asset Management – ISO 5500x
series – an enabler/ consolidator/
common platform for enhancing
asset management Cost
RiskPerformance
ISO - 5500x series on "Asset
Management" is consolidation on
many asset management
requirements, initiatives and
maturity of the 'asset management'
discipline.
Doc Name | Date 22
Asset “Management System”

23Doc Name | Date
Asset
“Management
System”
People
Technology/
System
DataGovernance
Process
Management System - Assets

24Doc Name | Date
Concept adopted from Source: ISACA, COBIT 5, USA, 2012
End to End (Life Cycle)

Asset?- Roads
benchmarking

Asset or Service?
• Roads (aka Road Reserve) – long lasting
infrastructure – Asset/Product or a Service?
• are taken as a “given” or “granted” /treated as a commodity
• not as a public service nor as a utility service for
• public transport
• active transport
• car user
• heavy vehicle freight
• access
• etc

Public transport enabler - example
• More than three quarters of all passenger
kilometres travelled in Australia occur on roads.
• Public transport is a major user of our road
network. In Melbourne, for example, more than
80 per cent of all public transport kilometres
are travelled on roads.

Managing Road Lifecycle
• Infrastructure owners (such LG and State Road
Authorities) are responsible for the delivery of
road infrastructure services to stakeholders with a
focus on their continuous improvement.
• Large complex networks that needed to be
constructed, acquired and maintained for lifetime
• Whole of life cycle management = Maintain the
life cycle including routine maintenance,
preventive maintenance, rehabilitation, renewal
and reconstruction

Road Infrastructure Assets
• Roads –linear ‘long life’ infrastructure life cycle
management
• Need to measure performance over the life cycle
• Need to predict future network condition/ needs
for optimization of budget allocation
• Material shortage and resource prices
• Change of road use patterns
• Social pressure on users to be climatically aware

Asset?- Roads
benchmarking

Configuration
• Road – the accepted generic terminology when we
discuss issues such as safety and the service?.
• Pavement – the accepted technical terminology when
we discuss issues such as performance, optimisation
and intervention levels/ treatments

Managing Road Networks
•To get maximum benefits from the allocated
budget.
•To keep the road network at set PCI
(performance) target.
•Objective: Maximise performance with
minimise cost at budget constraint.

33Research Seminar, Toowoomba Regional Council, February 2013
Pavement performance
Components
• Surface/ Wearing Course
• Pavement / Base
• Earthworks/ sub base/ formation
Performance indicators - AustRoads
• Austroads Surface Health Indices
• Austroads Pavement Health Indices

Thank you
34Research Seminar, Toowoomba Regional Council, February 2013
Pavement composition

Management System - Pavement
• What is a Pavement (Data,) Information (and Knowledge)
Management System (PMS)?:
• PMS is a set of tools used to assist in providing, evaluating,
maintaining pavement within the budget
• Element One: A database of current and historical information
about your pavement
• Element Two: The facility to determine pavement condition,
predict financial demand and identify/prioritise works projects

Performance, cost and risk aspects
• Consumption (current and forecast)
• i.e. deterioration of network, performance degradation
• Hence renewal forecasts/needs
vs
• Risk/ LoS and fit for purpose
• Pavement Management Strategies
• PM system data
• Geography, condition, environmental effect, traffic, HDM4
model etc
• Intervention Levels
• Treatment types

PMS II
• Pavement Condition Index (PCI) – commonly referred to when we discuss
performance of a road or pavement
• Deterioration – Moisture/ Temperature/ Aging/ Traffic Loading effecting
pavement materials and surface characteristics resulting in cracking/
raveling/ potholing/ rutting/ roughness
• Road Segment – typically this is considered to be in general terms the
section of road reaching from block to block or intersection to intersection
and approximately less than 300m in length.
• In technical sense, they are section of a road with similar characteristics such
as same age, construction etc.

Effect of funding levels on
road network roughness
•

Pavement Life Cycle
Right Treatment; Right Time & Right Place.

Impact of Timely Intervention
Saves public money in the long-term
Impact of Timely Maintenance

Pavement performance 101
Surface distress modes :
• Fracture. cracking or spalling resulting from such things as
excessive loading, fatigue, thermal changes, moisture
damage, slippage or contraction.
• Distortion. This is in the form of deformation (e.g., rutting,
corrugation and shoving), which can result from such things
as excessive loading, creep, densification, consolidation,
swelling
• Disintegration. This is in the form of stripping. raveling or
spalling, which can result from such things as loss of
bonding, chemical reactivity, traffic abrasion, aggregate
degradation, poor consolidation/compaction or binder
aging.
Adopting smart technology for enhancing
asset management | August 2016
41

• Thus, surface distress will be somewhat related to roughness
• the more cracks, distortion and disintegration – the rougher the
pavement will be)
• as well as structural integrity (surface distress can be a sign of
impending or current structural problems).
• Pavement treatment selection aligned to pavement deteriorated
state of now or predicted future prior to treatment can be
applied
42

Established methods- Road Asset Performance
(bituminous)
Many parameters (few also applicable for Concrete roads)
Roughness, rutting, cracking, strength, texture etc
• History (Walking profilometer) to Laser
• Visual screen survey to automated crack detection
• Boreholes/ Bakenhalm beam/ FWD to latest advancement
(Traffic Speed Deflectometer)
• Project level vs Network level (or sub-network level)
• State Highways vs Local access street
Doc Name | Date 43

44
Source : Wikipedia on roughness

45Doc Name | Date
Some of adaptions to share
• Road asset data and performance
• Automated crack detection, cloud hosting and
defect mapping at absolute
• Smartphone app – post construction evaluation,
segmentation and performance monitoring at low
cost

From centreline/ segment averaging
to GIS carriageway polygon absolute defect mapping,
automated crack detection (2015 survey) in Logan
• Improvements:
• Data integrity and accuracy
• Visual reconfirmation through video mapped with all defects/
cracking
• Some of the benefits achieved:
• Enhanced and optimised crack sealing program
• Improved input to our deterioration model
Doc Name | Date 46
Towards 7D Pavement Mgmt System

Automated crack detection
• Digitised detecting process VS manual rating
Doc
Name |
Date
47

Limitation of current roughness survey methods
• Availability of Laser Profiler , cost for network vs adhoc use
• Traffic control and road closure required for other survey
devices such as walking profiler or rolling profiler
Doc
Name |
Date
49

APPs included in trial project
App name Logo Unique features Common features
RoadBump Pro N/A • Relay on data collected
from GPS and
accelerometer
• GIS visualisation is
integrated in the app
• Post analysis is needed
to further interpret the
survey outcome
• Require survey to be
maintained at higher
than 50km/h
BumpRecorder N/A
Roadroid Allow survey video to
be integrated in the
process
rruf Provide real time
feedback on measured
roughness level
Doc
Name |
Date
50

Post Construction Evaluation
• A quick analysis for internal works or development works
• Triggering further level 1 analysis (higher level for
verification)
Doc
Name |
Date
51
0
20
40
60
80
100
120
140
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6
NAASRAcount
Chainage
Roughness level evaluation example
Roughness level Trigger level

Correlation
• Small (case studies) sample currently
• Relative reflection of network roughness can assist in
identifying anomalous segments or further investigation
Doc Name | Date 52

Case Study
Teviot Road, South Maclean QLD 4280
Doc
Name |
Date
53
• Road length is 1.27km
• The terrain of the road is flat
• Newly constructed and surveyed
(less than 3 months)
• Mixture of spray seal and asphalt
surface
• A number of construction joins and
bridge abutments

Evaluation of RoadBump Pro - Some initial findings
Doc Name | Date 54
0
50
100
150
200
250
300
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6
NAASRACount
Chainage (km)
Repeatbility analysis

Correlation – example (Teviot Road)
Doc
Name |
Date
55
20
30
40
50
60
70
80
90
100
20 30 40 50 60 70 80 90 100
LSRmeasuredNAASRA
Roadbump mearued NAASRA
Corelation Study
Roughness level Line of equity

Network wide interim surveys
• Will help fine tune/ calibrate our model
• Input into dynamic segmentation
• Performance behaviour and treatment history of these
scenario segments
• Network segments which should have similar pavement
profile as of above sub-network and their rehabilitation
strategies and intervention
• Data integrity check on hierarchy, traffic volume
• Data integrity check on pavement composition
• Pavement component of AC to be shifted in SurfaceDoc Name | Date 56

Benchmarking
• SMEC PMS benchmarking
• State of Assets Report
• LGAQ
• Regional Asset Management Group QLD
• World Bank (HDM4)
• Austroads
• ALGA
• IPWEA – formal YardStick*
• IPWEA – informal via networking forums
• AAPA
• TMR/ Road Alliance
Doc Name | Date 57

Smart Flooded Road Warning Systems
• Roads group at Logan City Council is exploring innovative
low cost solutions for smart flooded road warning system to
reduce the risk of unintentional “drive ins” when roads are
flooded.
• The emphasis is on innovation and low 'whole of
life' cost solutions to facilitate rollout at multiple high risk
sites rather than prestige solutions which are (say) $100k
plus and only installed at only few prominent sites.
58

Smart Flooded Road Warning Systems
• Sensor/ IoT for flood risk mitigation,
maintenance management and road safety
• A video of the original prototype on a
‘Floodway’ sign is attached. We made this
video on a mobile phone as engineers, not film
makers and are sure as engineers you will see
the capability of the prototype.
• https://youtu.be/J16ZXBqZHGU
• Will be hosted on Open Data
59

Ideal platform for publishing
• Tagging some of existing Open Data cases in
LG sector/ Road industry
• DBYD,
• PDOnline
• Interactive mapping
• FloodMaps
• National Map, Data.Gov.Au
• Data.Qld.Gov.Au
• DTMR Roughness OpenData
• Logan CC’s OpenData ESRI portal
• Future road conditions and flood warning
devices etcDoc Name | Date 60

DTMR guidance (source: Data.Qld.Gov.au)
Adopting smart technology for enhancing asset management | August 2016 61
Transport and Main Roads, Queensland Government, Road condition – roughness data
and class, licensed under Creative Commons Attribution sourced on 13 August 2016

• Annual open data competition –
community empowerment for digital
inclusion
• http://2016.GovHack.org
• https://www.youtube.com/watch?v=EXkjxS87UOg&feature
=youtu.be
62
GovHack

Way forward – RAM Team
• More case studies as more data is available
• Some other apps to be explored?
• TSD data for high end LG roads
• Open data (as cons)
• Open data (benchmarking) across Councils and industry
research
• BigData# and data mining in Asset Management
• Dynamic segmentation and hierarchy based level of service
• Fit for purpose pavement performance index for LG
• Bridge inspection automation?
Doc Name | Date 63

Take home
• Adopt/ be open to smart technology and open data in
context of your organisation maturity
• Be risk taker/ innovator with support/readiness for potential
failure
• Collaborate, share and socialise your digital adoption and
continuously improve – best is yet to come
Acknowledgements
• Road Asset Management Program team and special mention of
(RoadBump study):
• Jinjiang Zhong, Road Asset Planning Engineer
• Jessica Ly, Student Engineer (work experience from QUT)
Doc Name | Date 64

Questions
Thanks very much
Contact: Ashish Shah
ashishshah@logan.qld.gov.au
M: 0434 327 923

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