Skip to main content

Effects of an Aftermarket Crash Avoidance System on Warning Rates and Driver Acceptance in Urban and Rural Environments

  • Conference paper
  • First Online:
Advances in Human Aspects of Transportation (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 786))

Included in the following conference series:

Abstract

Collision warning systems reduce crashes. They may improve habits, if individuals avoid behaviors that trigger alerts. When paired with telematics, individuals may change behavior over concern about monitoring. Mobileye-630 aftermarket systems with multiple crash avoidance warnings were installed in 21 privately-owned vehicles and telematics were installed in 15 of the 21. Warning rates were generated during 4-week baseline and 8-week treatment periods. Rates for three warning systems (forward collision warning, lane departure warning, headway monitoring) decreased by 30 to 70%. Rates were significantly lower for rural compared with urban drivers. Speeding behavior during treatment was similar to baseline. In a survey of participants, 62% agreed that Mobileye helped improve their safety while driving. Many drivers stated preferences for less conservative warning thresholds.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Cicchino, J.B.: Effectiveness of forward collision warning and autonomous emergency braking systems in reducing front-to-fear crash rates. Accid. Anal. Prev. 99A, 142–152 (2017)

    Article  Google Scholar 

  2. Cicchino, J.B.: Effects of Lane Departure Warning on Police-Reported Crash Rates. Insurance Institute for Highway Safety, Arlington, VA (2017)

    Google Scholar 

  3. Sayer, J.R., Buonarosa, M.L., Bao, S., Bogard, S.E., LeBlanc, D.J., et al.: Integrated Vehicle-Based Safety Systems Light-Vehicle Field Operational Test Methodology and Report. USDOT, Washington, DC (2010)

    Google Scholar 

  4. Jermakian, J.S., Bao, S., Buonarosa, M.L., Sayer, J.R., Farmer, C.M.: Effects of an integrated collision warning system on teenage driver behavior. J Saf. Res. 61, 65–75 (2017)

    Article  Google Scholar 

  5. Biding, T., Lind, G.: Intelligent Speed Adaptation (ISA), Results of Large-Scale Trials in Borlange, Lidkoping, Lund, and Umea during the Period 1999–2002. Swedish National Road Administration (2002)

    Google Scholar 

  6. Lai, F., Jamson, S., Carsten, O.: Lancashire ISA, Final report, the Effect of Advisory ISA on Drivers’ Choice of Speed and Attitudes to Speeding. Institute for Transport Studies, Leeds, United Kingdom (2017)

    Google Scholar 

  7. Merrikhpour, M., Donmez, B., Battista, V.: Effects of a feedback-reward system on headway time. In: Twenty-Second Canadian Multidisciplinary Road Safety Conference, Alberta, Canada (2012)

    Google Scholar 

  8. Shinar, D., Schechtman, E.: Headway feedback improves intervehicular distance: a field study. Hum. Factors 44(3), 474–481 (2002)

    Article  Google Scholar 

  9. Highway Loss Data Institute: Predicted Availability and Fitment of Safety Features on Registered Vehicles. Arlington, VA (2017)

    Google Scholar 

  10. Virginia Department of Transportation: 2016 Virginia Department of Transportation Daily Traffic Volume Estimates Including Vehicle Classifications Estimates, Jurisdiction Report 00 Arlington County. VDOT, Richmond, VA (2017)

    Google Scholar 

  11. Virginia Department of Transportation: 2016 Virginia Department of Transportation Daily Traffic Volume Estimates Including Vehicle Classifications Estimates, Jurisdiction Report 39 Greene County. VDOT, Richmond, VA (2017)

    Google Scholar 

  12. Ghazizadeh, M., Lee, J.D., Boyle, L.N.: Extending the technology acceptance model to assess automation. Cong. Technol. Work 14, 39–49 (2012)

    Article  Google Scholar 

  13. Reagan, I.J., Cicchino, J.B., Kerfoot, L.B., Weast, R.A.: Crash avoidance and driver assistance technologies – are they used? Transp. Res. Part F 52, 176–190 (2018)

    Article  Google Scholar 

  14. Flannagan, C., LeBlanc, D., Bogard, S., Nobukawa, K., Narayanaswamy, P., Leslie, A., et al.: Large-Scale Field Test of Forward Collision Alert and Lane Departure Warning Systems. Report No. DOT HS 812 247. National Highway Traffic Safety Administration: Washington, DC (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ian J. Reagan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Reagan, I.J. (2019). Effects of an Aftermarket Crash Avoidance System on Warning Rates and Driver Acceptance in Urban and Rural Environments. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2018. Advances in Intelligent Systems and Computing, vol 786. Springer, Cham. https://doi.org/10.1007/978-3-319-93885-1_71

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-93885-1_71

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93884-4

  • Online ISBN: 978-3-319-93885-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics