Initial Analyses from the SHRP 2 Naturalistic Driving Study: Addressing Driver Performance and Behavior in Traffic Safety (2013) / Chapter Skim
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3 CHAPTER 2 Assessing the Relationship between Driver, Roadway, Environmental, and Vehicle Factors and Lane Departures on Rural Two-Lane Curves: An Investigation Using the SHRP 2 Naturalistic Driving Study Shauna Hallmark (Center for Transportation Research and Education at Iowa State University) and Dan McGehee (Public Policy Center at the University of Iowa)
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4 Project Objectives Because rural curves pose a significant safety problem, and the interaction between the driver and roadway environment is not well understood, the objective of this research is to assess the relationship between driver behavior and characteristics, roadway factors, environmental factors, and the likelihood of lane departures on rural two-lane curves. In order to accomplish this, SHRP 2 NDS and RID data were used to develop initial models that explore how drivers interact with the roadway environment and what conditions are present when a driver does not successfully negotiate a curve versus what conditions are present when successful negotiation occurs.
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5 what had been expected and that all of the variables necessary with a few minor exceptions would be available for Phase 2. Considering the results for Phase 1, the sample size was determined for Phase 2 based on what would be needed to fully answer the research questions balanced with what could economically and feasibly be conducted in Phase 2.
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6 Figure 2.1. Steering wheel position for curve 503 WB.
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7 A dynamic linear model was used to develop an initial model, which related lane offset to curve characteristics. The dynamic model form was selected because it allows for the flexibility of modeling several time series at once which will allow the team to develop estimates of what "normal driving" looks like, allowing differences in covariates or behavior when lane departures occur to be evaluated.
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8 Steps will be taken to ensure that, when appropriate, results from Phase 2 can be translated to practice. Tech briefs will be developed to summarize information about which factors are correlated to lane departures.
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