Analysis of Existing Data: Prospective Views on Methodological Paradigms (2012) / Chapter Skim
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Pages 9-13
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9C h a p t e r 1 Background of Naturalistic Driving Studies Naturalistic driving experiments have been conducted for several years and include studies of drivers in their own vehicles and a series of technology tests to assess the safety consequences of advanced in-vehicle technologies. Generally, the 100-car study conducted by VTTI provided naturalistic data to make causal crash assessments, with a focus on the few seconds before and after crashes and events of interest (near crashes and critical incidents)
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10 curves and how they respond when presented with curve speed alert warnings. The study found that lateral acceleration was higher during the day than at night and also higher for right turns than left turns (both when evaluating lateral acceleration on a time-based average of the value when it exceeded a specific driver's 90th percentile value and when the average of the maximum value for individual curves exceeded a driver's 90th percentile value)
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11 Fitzpatrick et al.
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12 tion with respect to the vehicle operator. This allows one to estimate, separately for males and females, the effect of predictor variables on the dependent variable (crash, near crash, or critical incident)
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13 performed using a GLIMMIX macro in SAS software. The GLIMMIX macro employs a pseudolikelihood (Kim et al.
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