Naturalistic Driving Study: Development of the Roadway Information Database (2014) / Chapter Skim
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Pages 46-53
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From page 46... ...
46 A p p e n d i x A The user needs assessment effort for the project included four components: • Identify user/stakeholder groups who will use the roadway data and geographic information system (GIS) tools when accessing the Roadway Information Database (RID)
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47 • What variables or pre-event factors are the most effective crash surrogate measures, what explanatory factors are associated with crashes or crash surrogates, and what analytical models can be developed to predict crashes or crash surrogates? The first two questions deal specifically with roadway features.
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48 The first question asked respondents to identify which user category best represented them. Responses are shown in Table A.1.
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49 addition to those individuals, the team also identified five human factors researchers who were familiar with the SHRP 2 NDS. Human factors researchers would have a different perspective on which roadway factors may present a safety risk than traditional roadway safety professionals.
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50 covered a category. For instance, the first category listed items included in horizontal and vertical curvature, as shown in Figure A.6.
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51 • Intersection control; and • Interchange ramp characteristics. The next question asked respondents to rate the roadway types they felt data collection should focus on.
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52 Table A.2. Roadway Tangent Data Elements Ranking Three or Higher Data Element Features Sum Access Access control 3 Driveway density 5 Road classification Route/street name 3 Functional class/type 4 Clear zone Curb presence 3 Type of objects within clear zone 4 Cross section Type (i.e., regular, two-way left-turn lane [TWLTL]
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From page 53... ...
53 intersection approaches (38 elements out of a total of 153) , and Table A.3 shows the list for data elements specific to intersections (nine elements out of a total of 113)
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