Automated Enforcement: A Compendium of Worldwide Evaluations of Results

Excessive speeding, red-light-running, and other high-risk behaviors are often associated with crash fatalities and injuries in the United States. Traditional law enforcement alone is not enough to deter high-risk driving behaviors. Automated enforcement systems (AES) use image-capture technology to monitor and/or to enforce traffic control laws. The goal of AES is to significantly increase the perceived chance of being caught, thus creating a change in behavior that will translate into a crash reduction. TransAnalytics, LLC, prepared for the National Highway Traffic Safety Administration (NHTSA) a compendium of automated enforcement approaches and systems implemented around the world and characterized the impacts, based on available research literature. Their findings are summarized in this Traffic Tech fact sheet.

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• Summary URL:
  • https://rosap.ntl.bts.gov/view/dot/1805
• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/1763
• Publication Date: 2007-3

Language

• English

Media Info

• Media Type: Web
• Pagination: 2p
• Serial:
  • Traffic Safety Facts - Traffic Tech
  • Issue Number: 322
  • Publisher: National Highway Traffic Safety Administration
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Automated enforcement; Behavior modification; High risk drivers; Literature reviews; Red light running; Speeding; Traffic law enforcement
• Subject Areas: Highways; Safety and Human Factors; Security and Emergencies; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01049416
• Record Type: Publication
• Files: NTL, TRIS
• Created Date: May 15 2007 2:31PM