Integration of Analysis Methods and Development of Analysis Plan (2012) / Chapter Skim
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Pages 45-55
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45 A p p e n d i x A introduction Advances in data collection techniques, such as instrumentation suites that capture naturalistic driving behavior, allow problems relating to transportation and driving behavior to be examined in a way that was not previously possible. In recent years, capturing naturalistic driving behavior has become more feasible and cost-effective.
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46 Vehicle characteristics influence driver behavior; for example, advanced braking systems influence the braking effectiveness of the driver. Rear-end collision avoidance systems have been shown to have a safety effect in reducing crash frequency (Lee et al.
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47 typically centered on rumble strips and as such have not seen definitive effects. However, the benefit of the naturalistic driving study is the ability to observe whether changes in travel patterns and behavior result from changes in the system (e.g., the implementation of speed bumps, traffic signals, new roadway networks, and construction zones)
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48 level, visibility is considered static because it changes very slowly within the time period of the event. development of Global Research Questions Research questions from the S01 and S05 projects were independently organized into five groups based on common themes related to • Similar safety outcomes; • Similar explanatory variables; • Relationship to crash surrogate measures; • Dynamic and static characteristics; and • Combinations of these four subjects.
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49 consensus regarding the most effective analytical techniques for extracting information from naturalistic data. The goal was to prioritize the GRQs with an emphasis on safety and the application of mitigation strategies.
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50 Research question Does the question require data about driver behavior (e.g., scan behavior, steering wheel movements)
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51 data (which can only be captured in a naturalistic study) are elevated in priority.
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52 Table A.1. Initial Prioritization of the Global Research Questions Based on a Safety Perspective Question General Rating Initial Priority Global Research Question 1 1*
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53 these questions reflect one of several perspectives that might be used to aggregate the questions. Lexical analysis techniques provide a computational approach to understanding the content of the research questions provided by the S01 contractors and Virginia Tech Transportation Institute.
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54 Figure A.6 shows maps of the five and eight themes associated with the S01 questions. Map A is a set of five themes dominated by crash, terms, relationship, and vehicle.
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55 approach used to classify the research questions by driver, vehicle, roadway, and environment factors as described in the introduction to this report (Figure A.1) provides a means to illustrate these gaps.
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