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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
Annotation ability available
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.
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