2,952
Views
17
CrossRef citations to date
0
Altmetric
Articles

Characteristics of rear-end crashes involving passenger vehicles with automatic emergency braking

ORCID Icon &
Pages S112-S118 | Received 09 Nov 2018, Accepted 27 Jan 2019, Published online: 05 Aug 2019

  • Abe G, Richardson J. The effect of alarm timing on driver behaviour: an investigation of differences in driver trust and response to alarms according to alarm timing. Transp Res Part F Traffic Psychol Behav. 2004;7(4):307–322. doi: 10.1016/j.trf.2004.09.008
  • Blower D, Woodrooffe J, Page O. Analysis of Rear Underride in Fatal Truck Crashes. Ann Arbor, MI: University of Michigan Transportation Research Institute; 2011. UMTRI 2011-51.
  • Braitman KA, McCartt AT, Zuby DS, Singer J. Volvo and Infiniti drivers’ experiences with select crash avoidance technologies. Traffic Inj Prev. 2010;11:270–278. doi: 10.1080/15389581003735600
  • Cicchino JB. Effectiveness of forward collision warning and autonomous emergency braking systems in reducing front-to-rear crash rates. Accid Anal Prev. 2017;99(pt A):142–152. doi: 10.1016/j.aap.2016.11.009
  • Cicchino JB, McCartt AT. Experiences of model year 2011 Dodge and Jeep owners with collision avoidance and related technologies. Traffic Inj Prev. 2015;16:298–303. doi: 10.1080/15389588.2014.936408
  • Doyle M, Edwards A, Avery M. AEB real world validation using UK motor insurance claims data. In: Proceedings of the 24th Enhanced Safety of Vehicles International Conference. Washington, DC: NHTSA; 2015:15-0058.
  • Edwards M, Nathanson A, Wisch M. Estimate of potential benefit for Europe of fitting autonomous emergency braking (AEB) systems for pedestrian protection to passenger cars. Traffic Inj Prev. 2014;15(suppl. 1):S173–S182. doi: 10.1080/15389588.2014.931579
  • Eichelberger AH, McCartt AT. Volvo drivers’ experiences with advanced crash avoidance and related technologies. Traffic Inj Prev. 2014;15(2):187–195. doi: 10.1080/15389588.2013.798409
  • Eichelberger AH, McCartt AT. Toyota drivers’ experiences with dynamic radar cruise control, pre-collision system, and lane-keeping assist. J Safety Res. 2016;56:67–73. doi: 10.1016/j.jsr.2015.12.002
  • Fildes B, Keall M, Bos N, et al. Effectiveness of low speed autonomous emergency braking in real-world rear-end crashes. Accid Anal Prev. 2015;81:24–29. doi: 10.1016/j.aap.2015.03.029
  • Flannagan C, LeBlanc D, Bogard S, et al. Large-Scale Field Test of Forward Collision Alert and Lane Departure Warning Systems. Washington, DC: NHTSA; 2016. DOT HS 812 247.
  • Hamdane H, Serre T, Masson C, Anderson R. Issues and challenges for pedestrian active safety systems based on real world accidents. Accid Anal Prev. 2015;82:53–60. doi: 10.1016/j.aap.2015.05.014
  • Highway Loss Data Institute. Compendium of HLDI collision avoidance research. HLDI Bulletin. 2018;35(34):1–25.
  • Hulshof W, Knight I, Edwards A, Avery M, Grover C. Autonomous emergency braking test results. In: Proceedings of the 23rd Enhanced Safety of Vehicles International Conference. Washington, DC: NHTSA; 2013:13-0168.
  • Insurance Institute for Highway Safety. Unpublished Analysis of Crash Report Sampling System and Fatality Analysis Reporting System. Arlington, VA: Insurance Institute for Highway Safety (IIHS); 2018.
  • Isaksson-Hellman I, Lindman M. Evaluation of rear-end collision avoidance technologies based on real world crash data. In: Fredriksson J, Kulcsár B, Sjoberg J, eds. Proceedings of Third International Symposium on Future Active Safety Technology Toward Zero Traffic Accidents. Gothenburg, Sweden: Chalmers University of Technology; 2015a:471–476.
  • Isaksson-Hellman I, Lindman M. Real-world performance of City Safety based on insurance data. In: Proceedings of the 24th Enhanced Safety of Vehicles International Conference. Washington, DC: NHTSA; 2015b:15-021.
  • Isaksson-Hellman I, Lindman M. Evaluation of the crash mitigation effect of low-speed automated emergency braking systems based on insurance claims data. Traffic Inj Prev. 2016;17(suppl. 1):42–47. doi: 10.1080/15389588.2016.1186802
  • Jermakian JS. Crash avoidance potential of four passenger vehicle technologies. Accid Anal Prev. 2011;43:732–740. doi: 10.1016/j.aap.2010.10.020
  • Jermakian JS, Zuby D. Primary Pedestrian Crash Scenarios: Factors Relevant to the Design of Pedestrian Detection Systems. Arlington, VA: Insurance Institute for Highway Safety; 2011.
  • Kidd DG, Reagan IJ. Attributes of crash prevention systems that encourage drivers to leave them turned on. In: Ahram T, Karwowski W, eds. Proceedings of the 2018 International Conference on Applied Human Factors and Ergonomics. Cham, Switzerland: Springer International Publishing; 2019:523–533. doi: 10.1007/978-3-319-93885-1_47
  • Koglbauer I, Holzinger J, Eichberger A, Lex C. Autonomous emergency braking systems adapted to snowy road conditions improve drivers’ perceived safety and trust. Traffic Inj Prev. 2018;19:332–337. doi: 10.1080/15389588.2017.1407411
  • Kusano KD, Gabler HC. Comprehensive target populations for current active safety systems using national crash databases. Traffic Inj Prev. 2014;15:753–761. doi: 10.1080/15389588.2013.871003
  • Lee JD, See KA. Trust in automation: designing for appropriate reliance. Hum Factors. 2004;46:50–80. doi: 10.1518/hfes.46.1.50_30392
  • Lees MN, Lee JD. The influence of distraction and driving context on driver response to imperfect collision warning systems. Ergonomics. 2007;50:1264–1286. doi: 10.1080/00140130701318749
  • Lenard J, Danton R, Avery M, Weekes A, Zuby D, Kühn M. Typical pedestrian accident scenarios for the testing of autonomous emergency braking systems. In: Proceedings of the 22nd Enhanced Safety of Vehicles International Conference. Washington, DC: NHTSA; 2011:11-0196.
  • MacAlister A, Zuby DS. Cyclist crash scenarios and factors relevant to the design of cyclist detection systems. In: Proceedings of the 2015 International Research Council on Biomechanics of Injury (IRCOBI) Conference. Zurich, Switzerland: Research Council on the Biomechanics of Injury; 2015:373–384.
  • McDonald A, Carney C, McGehee DV. Vehicle Owners’ Experiences with and Reactions to Advanced Driver Assistance Systems. Washington, DC: AAA Foundation for Traffic Safety; 2018.
  • NHTSA. MMUCC Guideline: Model Minimum Uniform Crash Criteria. 5th ed. Washington, DC: National Highway Traffic Safety Administration, U.S. Department of Transportation; 2017. DOT HS 812 433.
  • Parasuraman R, Riley V. Humans and automation: use, misuse, disuse, abuse. Hum Factors. 1997;39:230–253. doi: 10.1518/001872097778543886
  • Reagan IJ, Cicchino JB, Kerfoot LB, Weast RA. Crash avoidance and driver assistance technologies—are they used? Transp Res Part F Traffic Psychol Behav. 2018;52:176–190. doi: 10.1016/j.trf.2017.11.015
  • Reagan IJ, McCartt AT. Observed activation status of lane departure warning and forward collision warning of Honda vehicles at dealership service centers. Traffic Inj Prev. 2016;17:827–832. doi: 10.1080/15389588.2016.1149698
  • Rizzi M, Kullgren A, Tingvall C. Injury reduction of low-speed autonomous emergency braking (AEB) on passenger cars. In: Proceedings of the 2014 International Research Council on Biomechanics of Injury (IRCOBI) Conference. Zurich, Switzerland: International Research Council on the Biomechanics of Injury; 2014:656–665.
  • Ruscio D, Ciceri MR, Biassoni F. How does a collision warning system shape driver’s brake response time? The influence of expectancy and automation complacency on real-life emergency braking. Accid Anal Prev. 2015;77:72–81. doi: 10.1016/j.aap.2015.01.018
  • Sari Z, Brookes D, Avery M. AEB performance in the UK: a decade of development. In: Proceedings of the 25th Enhanced Safety of Vehicles International Conference. Washington, DC: NHTSA; 2017:17-0290.
  • Spicer R, Vahabaghaie A, Bahouth G, Drees L, Martinez von Bulow R, Baur P. Field effectiveness of advanced driver assistance systems. Traffic Inj Prev. 2018;19:S91–S95. doi: 10.1080/15389588.2018.1527030
  • Teoh ER. Motorcycle crashes potentially preventable by three crash avoidance technologies on passenger vehicles. Traffic Inj Prev. 2018;19:513–517. doi: 10.1080/15389588.2018.1440082
  • Zuby DS, Brumbelow ML. Petition for Rulemaking to National Highway Traffic Safety Administration; 49 CFR Part 571 Federal Motor Vehicle Safety Standards; Rear Impact Guards; Rear Impact Protection. Arlington, VA: Insurance Institute for Highway Safety; 2011.