- 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.
Open access
2,952
Views
17
CrossRef citations to date
0
Altmetric
Articles
Characteristics of rear-end crashes involving passenger vehicles with automatic emergency braking
Jessica B. CicchinoInsurance Institute for Highway Safety, Arlington, VirginiaCorrespondence[email protected]
http://orcid.org/0000-0003-4337-518XView further author information
David S. ZubyInsurance Institute for Highway Safety, Arlington, VirginiaView further author information
Pages S112-S118
|
Received 09 Nov 2018, Accepted 27 Jan 2019, Published online: 05 Aug 2019
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.