Vaisala - Artificial Intelligence - The key to optimizing road asset management

Artificial Intelligence: The key to optimizing road asset management Ben Brown Head of Road Asset Managment

What do we need to do to unlock the benefits that technology can bring to Asset Management?

§ Emerging technology § Infrastructure maintenance

2

8-Apr-22

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Emerging Technology

Confusing messages in the media

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Digitisation of Asset Management

5

8-Apr-22

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2014 – Early phase development of computer vision model

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Road Maintenance

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Planned Maintenance

14

Reactive Maintenance (& Safety Inspections)

8-Apr-22

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Inventory Management

Distribution of road maintenance spending

15

8-Apr-22

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16

8-Apr-22

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Multiple vehicle journeys

17

8-Apr-22

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Multiple vehicle journeys

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19

8-Apr-22

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20

8-Apr-22

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Planned Maintenance

21

Reactive Maintenance (& Safety Inspections)

8-Apr-22

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Inventory Management

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Early Intervention Asset Management Early Intervention Asset Management (https://www.fhwa.dot.gov/publications/research/infrastructure/paveme nts/13038/011.cfm) 100 90 80 Condition

70

Good

75% time = 40% condition deterioration

Early detection of defects enables implementation of lower cost maintenance procedures

60

Fair

Each $1 spent on pavement maintenance here…

50 40 30

…will cost $5 if delayed until here

20

Poor

10 0 1

2

3

4

5

6

7

8

9

10

11

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14

15

16

Carbon emissions from road maintenance activity % Contribution to Road Survey Carbon Footprint Using Existing Processes

10%

§ Average Local Authority network length ~2,000km (DfT), driven survey distance ~2,800km § Average vehicle emissions 150g CO2/km (European Environment Agency)

10%

§ § § § §

46% 10%

24%

25

8-Apr-22

Safety Inspections

Condition Surveys

Tra ffic Signs

Arborcultural

Line Markings

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Safety Inspections Reactive Maintenance Road Condition Traffic Signs Line Markings

Carbon emissions from road maintenance activity % Contribution to Road Survey Carbon Footprint Using RoadAI Data

12%

§ § § § §

46%

42%

26

8-Apr-22

Safety Inspections

Condition surveys

§ Average Local Authority network length ~2,000km (DfT), driven survey distance ~2,800km § Average vehicle emissions 150g CO2/km (European Environment Agency)

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Safety Inspections Reactive Maintenance Road Condition Traffic Signs Line Markings

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§ Stand 05.122 § Ben Brown § Head of Road Asset Management § ben.brown@Vaisala.com § +44 7590 713629