Analysis of Naturalistic Driving Study Data: Roadway Departures on Rural Two-Lane Curves (2014) / Chapter Skim
Currently Skimming:
Pages 61-68
The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.
From page 61... ...
61 A p p e n d i x A The methodology used to reduce various roadway data features is described in the sections below. Kinematic Vehicle Factors Data element: Vehicle position within its lane Need: Lane position may be the best indicator of when a lane departure has occurred.
|
From page 62... ...
62 vehicles passed) can be used to determine roadway density as an exposure method.
|
From page 63... ...
63 Coding: Length of curve from PC to PT, reported in meters (Length)
|
From page 64... ...
64 Data element: Number of driveways or other access points Need: Traffic entering and exiting the traffic stream can affect vehicle operation. This traffic would be included as an independent variable in statistical analyses.
|
From page 65... ...
65 Comments: This was calculated once per curve using the best forward video available. At times, night was the only condition to assess sight distance of the curve.
|
From page 66... ...
66 Source: DAS forward imagery. Little to no roadway furniture.
|
From page 67... ...
67 Figure A.6. Subjective measure of roadway pavement surface condition using forward imagery.
|
From page 68... ...
68 Source: DAS forward imagery. Figure A.8.
|
Key Terms
This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More
information on Chapter Skim is available.