Evaluation of Data Needs, Crash Surrogates, and Analysis Methods to Address Lane Departure Research Questions Using Naturalistic Driving Study Data (2011) / Chapter Skim
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Lane departures are involved in a substantial number of motor vehicle crashes and account for a considerable number of fatalities. Single-vehicle, run-off-road crashes account for almost 39% of traffic fatalities.
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2To accomplish these goals, the following tasks were performed: 1. Identify important research questions related to lane departures.
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3ment edge drop-off, vehicle type, speeding, influence of alcohol or drugs, driver age, and distraction. The necessary accuracy and resolution for the identified factors were also determined.
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4Chapter 5 discusses potential lane departure crash surrogates that can be obtained from naturalistic driving study data. Literature on crash surrogates with an emphasis on lane departure crash surrogates is summarized, and a methodological approach for selecting and applying lane departure crash surrogates is outlined.
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53. Logistic regression for correlated data that accounts for repeated sampling among observations (e.g., repeated sampling for the same driver, trip)
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