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Feasibility of Using In-Vehicle Video Data to Explore How to Modify Driver Behavior That Causes Nonrecurring Congestion (2011) / Chapter Skim
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Appendix D - Project 7 and Project 8 Environmental Data Dictionary
Pages 123-127

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 123...
... Day of Week Using a calendar, enter the day of week on which the event occurred. Vehicles/Nonmotorists Involved • 00 = Not applicable (baseline epoch)
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From page 124...
... Note: Highly abridged version of GES V5, body type; codes above do not match GES codes. Relevant Object Choose the most relevant object (i.e., one that was struck in a crash or that constituted a crash threat)
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From page 125...
... . Driver Seat Belt Worn?
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From page 126...
... Freedom to select desired speeds is relatively unaffected, but there is a slight decline in the freedom to maneuver within the traffic stream from LOS A because the presence of others in the traffic stream begins to affect individual behavior.) • 03 = LOS C: Stable flow; maneuverability and speed are more restricted.
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From page 127...
... • 999 = Unknown. General Variables Event Comments Note: This text variable permits analysts to provide any comments on the event, including information not captured by data variables, assumptions made about the event affecting coding, and coding issues that arose.
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Key Terms

  • traffic stream
  • baseline epoch
  • traffic flow
  • construction zone
  • epoch coded

  • zone related
  • relevant object
  • ges variable
  • traffic density
  • physically divided

  • vision obscured
  • critical event
  • individual users
  • select desired
  • queues form

  • operating conditions
  • environmental variables
  • multiple trailers
  • crash threat
  • uniform value

  • study subject
  • variable permits
  • tree limbs
  • stream requires
  • match ges

  • obviously wrong
  • near crashes
  • roadway surface
  • unknown object
  • grade crossing


    • This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
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