S30086 Influencing the uptake of in-vehicle safety technologies and quantifying impacts

This project aims to address these challenges:

Aim (1) Quantify the performance of vehicle safety technologies "in the field" (i.e. as close

as possible to actual, not ideal or "perfect use") and forecast KPI1 trends under different

scenarios for input to (1) an updated RTZH model and (2) a future Safety Outcome

Model to inform more accurate target setting.

Aim (2) Deliver practical evidence-based recommendations for interventions that

National Highways can use to influence uptake of in-vehicle technologies that will make

the biggest difference to KSI outcomes on the SRN;

These aims will be achieved via the delivery of two work packages (not including

the inception/mobilisation phase which is also outlined in the description of service)

• Work Package 1 - Trends in technology uptake and safety outcomes
• Work Package 2 - User segmentation, influences and policy levers.

The Road to Zero Harm project and Safety Outcome Model projects identified gaps in

our understanding of the trends in uptake and impacts of in-vehicle safety technologies.

The RTZH model relies on several assumptions about usage and effectiveness of in

vehicle safety technologies. Our confidence in the validity of these assumptions is low

because:

• Recent press coverage indicates usage may be overestimated due

to issues affecting user acceptance (e.g. people turning off lane

keep assist because they perceive it as annoying and potentially

dangerous - www.brake.org.uk/get-involved/take ↗

action/mybrake/knowledge-centre/reports/vehicle-safety-systems-and-the

future-of-driving).

• The effectiveness estimates were also based on effects estimated for

whole of England (not just SRN) as part of the work to develop the GSR

legislation for Europe (which is now quite old and doesn't allow for

differentiating effects by road features, traffic mix and speeds).

• Lack of trend data on the uptake and usage of these technologies also

prevented us including in-vehicle safety technology in the Safety Outcome

model.

The first phase of this work (Spats work order S30004) delivered the following:

• Determine current prevalence and forecast trends (to 2050) in uptake of vehicle

safety technologies.

• Determine the conditions under which each technology is most likely to be

effective, as well as the road user groups and the crash types they are most

likely to produce KSI reductions in.

• Forecast KSI savings on the SRN over time (out to 2050) in different scenarios

and assess difference in magnitude of benefits.

• Review academic and grey literature to assess:

a. perceptions of in-vehicle safety technology by road user type and socio

demographic group (including age, gender, occupation and socio

economic categories)

b. levels of technology use (using objective observational measures insofar

as possible, supplemented with self-report if needed) disaggregated by

vehicle category and socio-demographic factors

c. observed barriers and enab