Naturalistic Driving Database Development and Analysis of Crash and near-Crash Traffic Events in Honolulu

Details

• Creators:
  Prevedouros, Panos D ; Pereira, Luana Carneiro
• Corporate Creators:
  University of Alaska Fairbanks. Center for Safety Equity in Transportation (CSET) ; University of Hawaii at Manoa. Department of Civil and Environmental Engineering
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Automatic data collection systems
  • Crash characteristics
  • Databases
  • Near crashes
  • Traffic crashes
  • Rear end crashes
  • Regression analysis
  • Distraction
• Publication/ Report Number:
  INE/CSET 21.08
• Resource Type:
  Tech Report
• Geographical Coverage:
  Hawaii;United States
• Edition:
  July 2019 to August 2021
• Corporate Publisher:
  University of Alaska Fairbanks. Center for Safety Equity in Transportation (CSET)
• Description:
  Dashboard cameras and sensors were installed in 233 taxi vans on Oahu, Hawaii which produced several hours of events classified as naturalistic driving data (NDD) in a period of seven months between fall 2019 and spring 2020. The study achieved its objectives to: (1) collect data from NDD events where driving maneuvers caused an acceleration of 0.5g or higher; (2) develop a database suitable for statistical analysis; (3) derive basic statistics for all variables; (4) investigate correlations between variables; and (5) further investigate correlations (which may represent causality effects) for the most frequent types of events, using stepwise linear regression models. The database included a total of 402 harsh events, of which were 398 near-crashes and four were crashes. Several variables such as road, environmental, driver and vehicle characteristics were coded for each event. The installation of Samsara by the CTL company proved to be a successful tool for coaching drivers, and for providing useful insights into traffic safety factors relating to near-miss events.
• Format:
  PDF
• Funding:
  69A3551747129
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/60306/dot_60306_DS1.pdf
• File Type:
  [PDF - 3.11 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:27409f5a6cc0099d6f9d2dddb98f045f9dad34c9eb7fe8c0cc9307d1970be454fd6a19eda6a299bcce9d585dc3c223a89c8949a6d0014bc4ef6c58381bd13c17