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Clustering and Scaling of Naturalistic Forward Collision Warning Events Based on Expert Judgments
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 01, 2014 by SAE International in United States
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The objectives of this study were a) to determine how expert judges categorized valid Integrated Vehicle-Based Safety Systems (IVBSS) Forward Collision Warning (FCW) events from review of naturalistic driving data; and b) to determine how consistent these categorizations were across the judges working in pairs. FCW event data were gathered from 108 drivers who drove instrumented vehicles for 6 weeks each. The data included video of the driver and road scene ahead, beside, and behind the vehicle; audio of the FCW alert onset; and engineering data such as speed and braking applications. Six automotive safety experts examined 197 ‘valid’ (i.e., conditions met design intent) FCW events and categorized each according to a taxonomy of primary contributing factors. Results indicated that of these valid FCW events, between 55% and 73% could be considered ‘nuisance alerts’ by the driver. These were the FCW alerts presented in benign conditions (e.g., lead-vehicle turning) or as a result of deliberate driver action (aggressive driving). Only 16% of the FCW alerts were attributed to driver distraction and all of these cases involved a driver looking away from the road scene at an inopportune time. The consistency or agreement in categorization performance of the 6 experienced safety professionals was also examined. Working in pairs, there was either majority or unanimous agreement on 88% of the 197 FCW cases reviewed by the three pairs of judges working independently from one another.
CitationTijerina, L. and Sayer, J., "Clustering and Scaling of Naturalistic Forward Collision Warning Events Based on Expert Judgments," SAE Technical Paper 2014-01-0160, 2014, https://doi.org/10.4271/2014-01-0160.
- Sayer , J. , Bogard , S. , Buonarosa , M. L. , LeBlanc , D. , Funkhouser , D. , Bao , S. , Blankespoor , A. , and Winkler , C. B. 2011 January Integrated Vehicle-Based Safety Systems Light-Vehicle Field Operational Test Key Findings Report DOT HS 811 416 Washington, DC NHTSA http://umtri.umich.edu/content/IVBSS_HT_Methodolgy_&_Results.pdf
- Treat , J. R. , Tumbas , N. McDonald , S. T. , Shinar , D. , Hume , R. D. , Mayer , R. L. , Stansifer R. L. , and Castellan , N. 1979 May Tri-level study of the causes of traffic accidents: Final report - Executive summary Report No. DOT HS 805 099 Washington, DC National Highway Traffic Safety Administration
- Evans , L. 2004 Traffic safety Bloomfield Hills, MI Science Serving Society
- Ljung , M. , Huang , Y-S. , Aberg , N. , and Johansson , E. 2004 Close calls on the road: A study of drivers' near-misses Proceedings of the 3 rd International Conference on Traffic and Transportation Psychology
- Sandin , J. and Ljung , M. 2007 Understanding the causation of single-vehicle crashes: a methodology for in-depth on-scene multidisciplinary case studies International Journal of Vehicle Safety 2 3
- Brenac , T. , Clabaux , N. , and Perrin , C. 2012 Qualitative judgments of resemblance between road accident cases: What degree of resemblance among experts? Advances in Transportation Studies 26 B 89 96
- Dunn-Rankin , P. , Knezek , G. A. , Wallace , S. , and Zhang , S. 2004 Scaling methods 2nd Mahwah, NJ Lawrence Erlbaum
- Johnson , R. A. , and Wichern , D. W. 1988 Applied multivariate statistics 2nd Englewood Cliffs, NJ Prentice-Hall
- Milligan , G. W. , and Hirtle , S. C. 2003 Clustering and classification methods Schinka J. A. and Velicer W. F. Handbook of psychology (Volume 2: Research methods in psychology) 165 186 New York John Wiley
- Hair , J. F. Jr. , and Black , W. C. 2000 Cluster analysis Grimm L. G. and Yarnold P. R. Reading and understanding more multivariate statistics 147 206 Washington, DC American Psychological Association
- Schiffman , S. S. , Reynolds , M. L. , and Young , F. W. 1981 Introduction to multidimensional scaling New York Academic Press
- Stalans , L. J. 1995 Multidimensional scaling Grimm L. G. and Yarnold P. R. Reading and understanding multivariate statistics 137 168 Washington, DC American Psychological Association
- Kruskal , J. B. , and Wish , M. 1978 Multidimensional scaling Beverly Hills, CA Sage Publications
- Guo , F. , Klauer , S. G. , McGill , M. T. , and Dingus , T. A. September 2010 Evaluating the relationship between near-crashes and crashes: Can near-crashes serve as a surrogate safety metric for crashes? Report No. DOT HS 811 382 Washington, DC U.S. Department of Transportation National Highway Traffic Safety Administration
- Lund , A. 2013 Drivers and Driver Assistance Systems: How well do they match? 2013 Driving Assessment Conference Lake George, NY June 18 2013 9 20 2013 http://www.iihs.org/iihs/topics/t/crash-avoidance-technologies/presentations/bytag