Systemic Noteworthy Practice: Ohio's Machine Learning Profile Analysis for Roadway Departure and Pedestrian Crashes

Details

• Corporate Creators:
  United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Pedestrian Safety Ran Off Road Crashes Safety Analysis Traffic Safety
• Publication/ Report Number:
  FHWA-SA-24-047
• Resource Type:
  Brief
• Right Statement:
  Public Domain
• Geographical Coverage:
  United States ; Ohio
• Corporate Publisher:
  United States. Department of Transportation. Federal Highway Administration
• Abstract:
  A systemic approach to safety considers both risk and crash history when making decisions on where to implement low-cost safety improvements. This approach relies heavily on data to identify locations for safety improvements that may not have been considered using other analysis methods. Analyzing the entire system using a defined set of criteria creates a more comprehensive approach that increases safety and decreases the potential for severe crashes. The systemic approach to safety has increasingly been used by agencies across the United States. This is one of a series of resources highlighting noteworthy applications of the systemic approach to safety.
• Format:
  PDF
• Collection(s):
  Federal Highway Administration
• Main Document Checksum:
  urn:sha-512:4da1f2469c63072651f820cadcc36dd7e717624a0929bdd5c52659b08d19f624fa8146a5300c9b612cf8a8e5e82e6389b5bb2a8b7dad44181cb5a26797d9d3d6
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/91892/dot_91892_DS1.pdf
• File Type:
  [PDF - 470.10 KB ]