• No results found

Measuresfor BehavingSafelyin Traffic

N/A
N/A
Protected

Academic year: 2022

Share "Measuresfor BehavingSafelyin Traffic"

Copied!
25
0
0

Loading.... (view fulltext now)

Full text

(1)

This project (MeBeSafe) has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 723430.

Measures for Behaving Safely in Traffic Nudging Bicyclists

(2)

2019-07-03 Measures for Behaving Safely in Traffic 2 ika & ISAC

RWTH Aachen University

Volvo Cars Safer/ Chalmers TNOHeijmans

Shell SWOV Cygnify

FCA Italy BMW Group

VUFO Offis

Virtual Vehicle University of Firenze

Cranfield University

MeBeSafe:

Measures for Behaving Safely in traffic

Duration:

42 Months May 2017 – October 2020

Funding:

7.136.979€

EU HORIZON RIA 2020

Partners and funding

(3)

2019-07-03 Measures for Behaving Safely in Traffic 3

Injury and conflict management

Protection systems, acute warnings and interventions

Risk management

Reducing the frequency of small margin driving situations

Traffic safety approaches

(4)

2019-07-03 Measures for Behaving Safely in Traffic 4 MeBeSafe intends to

o Change habitual traffic behaviour in order to increase safety margins o Develop & validate behavioural

nudging and coaching measures to vehicle drivers and cyclists

High level causation factors o Lack of attention

o Excessive speed

o Affected mental and/or physical state

Traffic behaviour is mainly habitual and we often get into risky situations

without even knowing it.

Preventing accidents

(5)

2019-07-03 Measures for Behaving Safely in Traffic 5

Traffic behaviour is largely automated.

It is not effective to appeal to active decision making.

MeBeSafe will change habitual behavior with nudging and coaching.

Traffic behaviour

(6)

2019-07-03 Measures for Behaving Safely in Traffic 6

Any aspect of the choice architecture that alters people's behaviour in a predictable way without forbidding any options or

significantly changing their economic incentives.

To count as a mere nudge, the intervention must be easy to implement and cheap to avoid. Nudges are not mandates. Putting fruit at eye level counts as a nudge. Banning junk food does not.

Thaler and Sunstein (2008)

Nudging

(7)

Gothenburg

cyclists

nudges

(8)

Measures for Behaving Safely in Traffic 8

• An iterative design process

– Theory

– Quick-and-dirty idea testing – Concept development

– More elaborate tests – Concept fine tuning – Evaluation

2018-12-12

The process

(9)

Two tests

Real-traffic

visual nudge test Experimental haptic nudge test

(10)

Transverse Stripes

Lane narrowing

Digital Speed Sign

Visual nudges

(11)

Haptic nudges

Swampy ground Soft ground

Rugged ground Softly rumbling ground

Bumpy ground Sloping ground

(12)

Visual test - 93 test persons

800 metre route, 3 stations in intersections where 6 nudges and 1 baseline were tested

(13)

Haptic test - 16 test persons

600 metre route, 6 stations where nudges were tested

(14)

0 2 4 6 8 10 12 14 16 18

320 325 330 335 340 345 350 355 360 365 370

Speed over distance Top speed Lowest speed

Braking distance

Speed reduction defined as difference between top to lowest speed in percent.

Difference=(top-lowest)/top.

Definitions

48.7%

speed decrease

(15)

Visual – large speed reductions

Speed reduction independent of noticing the nudges

(except for DigiSign)

Speed reduction independent of how much the cyclists claim to slow down in intersections usually

(16)

Visual nudges – Speed reduction

on top of baseline reduction (baseline corrected to 0%)

Everybody subjected to the nudges reduced speed

The speed reductions with nudges were much larger than speed reductions without nudges present

More apparent nudges reduced speed more.

(17)

Haptic – seemingly low speed reductions

Most speed reduction occurs before nudges, and that will wear off until next exposure

Speed reduction within nudges are often counteracted towards the end

(18)

Haptic nudges – Speed reduction

potential speed reduction the first time encountered

Results for slope applies if sloping up before intersection and down after

Speed reductions were very small – much less than for visual nudges

Speed reductions were generally larger for less appreciated nudges

In the long term, the effect will be negligable

(19)

Modalities of nudges

Haptic Visual

Less effect than visual nudges More effect than haptic nudges

Less appreciated than visual

nudges More appreciated than haptic nudges

Very large spread in which

nudges are appreciated Very coherent results on appreciation

Nudges with more effect are less appreciated

No clear connection between effect and appreciation

Nudge with useful effect demands serious rebuilding of

roads

None of the nudges

demand especially large efforts to implement

Effect very likely to wear off after first encounter

Effect likely to persist over time

(20)

Visual nudge types

(21)

Visual – more or less apparent nudges

(22)

Final conclusions

• Visual nudges are more appreciated and have larger potential to affect speed for all types of cyclists

• Visual stripes on ground affect speed on a subconscious level

• Rumble stripes neither reduce speed or are appreciated

• Speed decrease together with longer braking distances could make collisions less likely

(23)

This project (MeBeSafe) has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 723430.

Gothenburg

cyclists

nudges

(24)

Thank you for your attention!

2019-07-03 Measures for Behaving Safely in Traffic 24

(25)

MeBeSafe

25 Measures for Behaving Safely in Traffic

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under

grant agreement No 723430.

2019-07-03

References

Related documents

In 2017 the Nordic Council of Ministers appointed a High Level Group to carry out a strategic review of how future Nordic co-operation in education could be strengthened

The objective of this study was to evaluate the green infrastructure in the city by mapping and assessing the supply and demand of the most important ecosystem services (ES) and

The objective of this study was to evaluate the green infrastructure in the city by mapping and assessing the supply and demand of the most important ecosystem services (ES) and

This study shows that immigration from outside of the European Union has a significant negative effect on average yearly municipal income and a non-instantaneous positive effect

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101003666.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No

Having identified all individual infrastructure asset problems the project team tried to identify the most relevant indicators for performance, [11].. Performance of bridges

The Group of Commissioners on Fundamental Rights, Anti-discrimination and Equal Opportunities has the mandate to drive policy and ensure the coherence of Commission action in