Using Imaging Technology to Evaluate Highway Safety [Technical Summary]

Details

• Creators:
  Tarko, Andrew
• Corporate Creators:
  Purdue University. Joint Transportation Research Program
• Corporate Contributors:
  Indiana Department of Transportation ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Safety
  • Evaluation
  • Decision theory
  • Risk assessment
  • Estimation theory
  • Surrogate safety measures
  • Right angle crashes
  • Video imaging detectors
  • Technology
  • Data collection
  More +
• Publication/ Report Number:
  FHWA/IN/JTRP-2004/27
• Resource Type:
  Brief
• Geographical Coverage:
  United States ; Indiana
• Edition:
  Technical Summary
• Corporate Publisher:
  Indiana Department of Transportation
• Description:
  Crash-based safety analysis is set back by several shortcomings such as randomness and rarity of crash occurrences, lack of timeliness, and inconsistency in crash reporting. Safety analysis based on observable traffic characteristics more frequent than crashes is one promising alternative. Traditional approach to alternative safety analysis relies on the assumption of constant risk across locations. In addition, the current practice of collecting surrogate data often suffers from inherent subjectivity of humans involved in the task. In this research, we proposed a novel statistical approach to safety estimation based on observable traffic characteristics. We evaluated the proposed method by applying to right-angle collisions at signalized intersections. 8-hour traffic movements at selected intersections were recorded using a Purdue University mobile traffic lab. A traffic characteristic so-called post-encroachment time (PET) was observed as a surrogate safety measure to evaluate the risk of collisions.
• Format:
  PDF
• Funding:
  SPR-2663
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/90719/dot_90719_DS1.pdf
• File Type:
  [PDF - 28.69 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:46ce886af7339f94c3e4c91eb1ec3f03ce87fd361a0c697d8c667db2bf4b811d9db5b1949d023fca84be2687096e2b9de30c6a8dea7abfee7fd40587e2c48985