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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
Currently Skimming:


Pages 8-14

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 8...
... ; environmental monitoring (temperature, illumination, vibration, and noise in decibels) ; X, Y, and Z acceleration; and lane orientation using a SafeTRAC lane tracking system, as well as some data generated after the data reduction, such as eyeglance behavior and road type and geometry (1–3)
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From page 9...
... view from the left outside mirror down to the road surface; and (5) view of the participant's head with indications of the eye tracker.
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From page 10...
... of approximately 2 million VMT from 241 primary and secondary driver participants with a 12- to 13-month data collection period for each vehicle. The 8,295 incidents recorded included 15 police-reported crashes, 67 other crashes, and 761 near crashes.
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From page 11...
... ; • Swerve; • TTC; • Lane deviation;• Critical incident button; and • Analyst identified. Events identified from the data reduction included crash, crash: tire strike, near crash, crash-relevant conflict, unintentional lane deviation, and illegal maneuver.
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From page 12...
... Other data, such as GPS (latitude, longitude, and heading) ; X, Y, and Z acceleration; forward radar-collected data; and video-based lane tracking data, as well as reduced data (e.g., eyeglance behavior, time-of-day and ambient lighting, road type and geometry, and traffic density)
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From page 13...
... A Comprehensive Examination of Naturalistic Lane Changes. Report DOT HS 809 702.
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From page 14...
... Cooperative Intersection Collision Avoidance System Limited to Stop Sign and Traffic Signal Violations: Subtask 3.4 Interim Report.
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Key Terms

  • evasive maneuver
  • critical event
  • near crashes
  • near crash
  • forward ttc

  • lane change
  • forward scene
  • control inputs
  • hard braking
  • analyst identified

  • stop sign
  • traffic signal
  • traffic flow
  • road surface
  • outside mirror

  • tire strike
  • traffic density
  • driver fatigue
  • data reduction
  • traffic sign

  • yaw rate
  • false alarm
  • set contain
  • steering wheel
  • transportation research

  • traffic count


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