Utilizing ego-centric video to conduct naturalistic bicycling studies.

Details

• Alternative Title:
  Utilizing egocentric video to conduct naturalistic bicycling studies.
• Creators:
  Liu, Feng ; Figliozzi, Miguel A. ; Feng, Wu-chi ; Caviedes, Alvaro ; Le, Hoang ; Mai, Long
• Corporate Creators:
  Portland State University. Department of Civil & Environmental Engineering
• Corporate Contributors:
  National Institute for Transportation and Communities (NITC)
• Subject/TRT Terms:
  • Bicycling
  • Bicycles
  • Bicycle safety
  • Cyclists
  • Data analysis
  • Data collection
  • Video
  • Stress (Psychology)
  • Stress (Physiology)
  • Behavior Bicycle
  More +
• Publication/ Report Number:
  NITC-RR-805
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final report
• Corporate Publisher:
  National Institute for Transportation and Communities (NITC)
• Abstract:
  Existing data collection methods are mostly designed for videos captured by stationary cameras and are not designed to follow cyclists along a ; route or to integrate other sensor data. The goals of this research are: a) to develop a platform to collect naturalistic video bicycling data, b) to ; develop a methodology to integrate video data with other sensors that measure cyclists’ position and comfort levels, and c) to apply the platform ; and data collection methodology to a real-world route. This research effort has successfully integrated video and sensor data to describe cyclists’ ; comfort levels along a route. It was found that stress levels while riding during peak hours averaged 1.75 times higher than while riding at offpeak ; hours on the same routes and facilities. Separated bicycle infrastructure, such as multiuse paths, during peak and off-peak hours showed the ; lowest stress levels. Signalized intersections were hotspots for cyclists’ stress. All these results are statistically significant. The results indicate ; that integrating video and sensor data allows for a more detailed understanding of cyclists’ perceptions along a route. Rather than having an ; average measure for the whole route or path, it is possible to precisely identify the places and/or situations that trigger a change in experience or ; stress. By measuring how different facility types and riding conditions affect the distribution of stress levels among users, transportation engineers ; and planners may in the future incorporate video and detailed sensor data to evaluate the real-world performance of different types of facilities.
  More +
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/32144/dot_32144_DS1.pdf
• File Type:
  [PDF - 2.83 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:8f2c8c4f7009ce285819d54050009293c64e9a15fb13ba97c339e4caba88d17167a321b66ca18f7c740e6be4cd1c6c5102e163a2e7a22dbeab877f2effa4206c