Automated Video Analysis - Analyzing Large Quantities Of Transportation Research Data

Details

• Corporate Creators:
  United States. Federal Highway Administration
• Contributors:
  Cobb, Lincoln
• Corporate Contributors:
  Turner-Fairbank Highway Research Center
• Subject/TRT Terms:
  • Data analysis
  • Research
  • Video
• Publication/ Report Number:
  FHWA-HRT-15-070
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  United States. Federal Highway Administration
• Abstract:
  The SHRP 2 NDS involved almost 3,000 volunteers going about their regular activities with extensive instrumentation, including video and still cameras, a Global Positioning System, and many other sensors attached to their personal vehicles for up to 2 years. The NDS data will provide unparalleled insight into the connections between driver behaviors, road design, traffic, and many other topics that have previously been difficult, if not impossible, to directly investigate, or were limited in scale by the intimidating logistics of collecting and analyzing this much data. The major challenge is decoding the video data. For example, one researcher might be interested in how drivers react to particular elements of the overall roadway environment whereas another researcher might be focused on the video from the camera pointed directly at the driver’s face and upper torso.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/40857/dot_40857_DS1.pdf
• File Type:
  [PDF - 363.29 KB]
• Collection(s):
  Federal Highway Administration
• Main Document Checksum:
  urn:sha-512:07fa6d534fa1fb259f5a507d4d6de6faf94ec5a0aa82bbfb329d2de994c6ba9a1f75c96d0b914bd708d8fd8ff6412d14d5955ebf608d49903f2e6071048802e7