isa: the research evidence

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Institute for Transport Studies ISA: The Research Evidence Oliver Carsten Institute for Transport Studies University of Leeds UK

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Presentation by Professor Oliver Carsten at ETSC event hosted at European Parliament, Brussels on 3 November 2014. www.its.leeds.ac.uk/people/o.carsten http://etsc.eu/fitting-safety-as-standard

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Page 1: ISA: The Research Evidence

Institute for Transport Studies

ISA: The Research Evidence

Oliver CarstenInstitute for Transport StudiesUniversity of LeedsUK

Page 2: ISA: The Research Evidence

Speed

“Speed remains a very important risk factor. It has a greater effect on the number of accidents and injury severity than almost all other known risk factors.”Rune Elvik, The Power Model of the relationship between speed and road safety:

Update and new analyses (2009)

Page 3: ISA: The Research Evidence

We know a lot about speed and risk

Page 4: ISA: The Research Evidence

Severity: the power model

Andersson and Nilsson,1997; Nilsson, 2004; Elvik et al., 2004; Elvik, 2009:

– Injury accidents go up approximately with the proportionate change in speed squared for a length of road

– Serious injury accidents with speed cubed

– Fatal accidents with speed to the fourth power

Source: Nilsson, 2004

Page 5: ISA: The Research Evidence

Collision speed and the risk of car driver death in frontal collisions

Source: DfT, 2010(dashed lines show 95% confidence interval)

Page 6: ISA: The Research Evidence

Impact speed and the risk of pedestrian death

Source: DfT, 2010(dashed lines show 95% confidence interval)

Page 7: ISA: The Research Evidence

Collision speed and the risk of car driver death in side collisions

Source: DfT, 2010(dashed lines show 95% confidence interval)

Page 8: ISA: The Research Evidence

Real-world trials

isa

isa

isaisa

isa

isa

isa isa

isa

Denmark (2000-2001 and 2005-2008)

Finland (2001-)

ISA-UK (2001-2006)

Two projects in Belgium (2001-2002)

LAVIA in France (2002-2006)

Austria (2003-2004)

Norway (2005-)

+

Australia (TAC SafeCar and NSW)

Japan (Soft Car)

Page 9: ISA: The Research Evidence

Assisting ISA: effect on behaviour and attitudes

Page 10: ISA: The Research Evidence

The ISA-UK trials

2 urban trials(1 private motorists, 1 fleet)

2 rural trials(1 private motorists, 1 fleet)

79 drivers with a mix of:

Younger / olderMale / femaleSpeeding intenders / non-intenders

Page 11: ISA: The Research Evidence

An overridable assisting system

• System that limited speed to the prevailing limit (no acceleration beyond limit)

• Drivers could override at will

• Vibration on throttle pedal to prevent over-throttling

30 30

Page 12: ISA: The Research Evidence

Speed distribution on 30 mph(50 km/h) urban roads

0

5

10

15

20

25

30

35

40

45

<5 5-10

10-15

15-20

20-25

25-30

30-35

35-40

40-45

45-50

50-55

55-60

60-65

65-70

70-75

75-80

80-85

85-90

90-95

>95

Vehicle Speed (mph)

Tra

vel

Dis

tan

ce (

%)

Phase 1 Phase 2 Phase 3

0

5

10

15

20

25

30

35

40

45

<5 5-10

10-15

15-20

20-25

25-30

30-35

35-40

40-45

45-50

50-55

55-60

60-65

65-70

70-75

75-80

80-85

85-90

90-95

>95

Vehicle Speed (mph)

Travel D

istan

ce (%

)

Phase 1 Phase 2 Phase 3

Before During After

Page 13: ISA: The Research Evidence

Speed distribution on 70 mph(110 km/h) roads

0

5

10

15

20

25

30

35

40

45

<5 5-10

10-15

15-20

20-25

25-30

30-35

35-40

40-45

45-50

50-55

55-60

60-65

65-70

70-75

75-80

80-85

85-90

90-95

>95

Vehicle Speed (mph)

Tra

vel

Dis

tan

ce (

%)

Phase 1 Phase 2 Phase 3

0

5

10

15

20

25

30

35

40

45

<5 5-10

10-15

15-20

20-25

25-30

30-35

35-40

40-45

45-50

50-55

55-60

60-65

65-70

70-75

75-80

80-85

85-90

90-95

>95

Vehicle Speed (mph)

Travel D

istan

ce (%

)

Phase 1 Phase 2 Phase 3

Before During After

Page 14: ISA: The Research Evidence

Acceptability

-2

-1

0

1

2

Time 1 Time 2 Time 3 Time 4

Mea

n S

core

Usefulness

Satisfaction*

Before AfterEarly with

Latewith

Page 15: ISA: The Research Evidence

Intention

-3

-2

-1

0

1

2

3

speeding**

Scenario

Mean R

ating

Time 1

Time 2

Time 3

-3

-2

-1

0

1

2

3

speeding** disengage

Scenario

Mean R

ating

Time 1

Time 2

Time 3

-3

-2

-1

0

1

2

3

speeding**

Scenario

Mean R

ating

At start of trial

At end of Phase 2

At end of Phase 3

-3

-2

-1

0

1

2

3

Mean R

ating

-3

-2

-1

0

1

2

3

speeding**

Scenario

Mean Rati

ng

Time 1

Time 2

Time 3

-3

-2

-1

0

1

2

3

speeding** disengage

Scenario

Mean Rati

ng

Time 1

Time 2

Time 3

-3

-2

-1

0

1

2

3

speeding**

Scenario

Mean Rati

ng

At start of trial

At end of Phase 2

At end of Phase 3

-3

-2

-1

0

1

2

3

Mean Rati

ng

Mean intention to speed

At start of trial

At end of with ISA period

At end of after period

Page 16: ISA: The Research Evidence

Impact Prediction

Page 17: ISA: The Research Evidence

Method for estimating accident reductions with ISA

• Based on models from the literature relating speed to crash risk (e.g. Kloeden et al., 2001, 2002)

• These models have been calculated from real-world data

• They are not drawn from the police reported contributory factors for accidents

Page 18: ISA: The Research Evidence

Estimated risk reduction by type of ISA

Estimated Reduction in Injury Accidents for Vehicles with ISA

ISA Variant Reduction

Advisory ISA −2.7%

Assisting (Overridable) ISA −12.0%

Assisting (Non-Overridable) ISA −28.9%

= −50% for fatal crashes

Page 19: ISA: The Research Evidence

What is the importance of regulation?

Page 20: ISA: The Research Evidence

GB accidents saved over time for under the Market Driven scenario

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

2010 2020 2030 2040 2050 2060 2070

Acc

iden

t re

ducti

on r

ate

Fatal

Serious

Slight

Page 21: ISA: The Research Evidence

GB accidents saved over time for the Authority Driven scenario

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

2010 2020 2030 2040 2050 2060 2070

Acc

iden

t re

ducti

on r

ate

Fatal

Serious

Slight

Page 22: ISA: The Research Evidence

Comparison of predicted outcomes

• Benefit to cost ratios (accidents + fuel + CO2):

– Market Driven scenario 3.4

– Authority Driven scenario 7.4

Slight Crashes Serious Crashes Fatal Crashes

Market Driven 4% 8% 13%

Authority Driven 15% 25% 30%

GB Crashes Saved from, 2010 to 2070

Page 23: ISA: The Research Evidence

Interpretation of scenario analysis

• Both scenarios are winners

• The harder the push for ISA and the “stronger” the system, the greater the benefits

• Shows the importance of regulation

• Much of the potential of ISA, e.g. to replace traditional and costly traffic calming, was not counted

Page 24: ISA: The Research Evidence

Confirmation from Norway

Vaa et al. (2014) examined the safety potential for Norway of a number of driver assistance systems, including Adaptive Cruise Control, alcolocks, seatbelt reminders, Electronic Stability Control and fatigue warning.

Their conclusion was:

“The most effective driver support system is ISA.”

Page 25: ISA: The Research Evidence

Conclusions

• ISA is a well-proven technology with very significant safety benefits

• Regulation is necessary to maximise the impact of ISA on European traffic injuries and deaths

• It is therefore logical to:

1. Adopt legislation for fitting of all new commercial vehicles with assisting ISA systems in line with the recommendations of the evaluation study conducted on behalf of the European Commission

2. Adopt European legislation for fitting of all new passenger cars with an overridable assisting ISA system

Page 26: ISA: The Research Evidence

Thank you for your attention!

[email protected]