Development of Methodology for Estimating Safety Benefits of Automatic Crash Notification Systems

The automatic crash notification system (ACNS) is a well-known technology with promising potential to reduce the crash response time (CRT) of emergency medical services. Reducing CRT will contribute to saving the lives of and alleviating the severity of injuries for crash victims. To fully operate the ACNS, it is important to quantify the safety benefits, which is fundamental for justifying public investment. This study proposed a methodology for quantifying the effectiveness of the ACNS and applied the methodology to the Korean freeway system. The proposed methodology consists of three steps. Fist, a statistical model was developed to predict injury severity using ordered logistic regression. Second, the amount of reduced CRT that would result from the ACNS was estimated. The effectiveness of the ACNS, which are defined as the number of reduced fatalities and severe injuries, were derived after considering the market penetration rate (MPR). When the proposed methodology is applied to 2010 freeway crash data, the result that fatalities are reduced by 11.8-18.1% when there is a 100% MPR. The outcomes of this study support decision making for public investments and for establishing relevant traffic safety policies.

• Record URL:
  http://www-esv.nhtsa.dot.gov/Proceedings/23/isv7/main.htm
• Corporate Authors:

  National Highway Traffic Safety Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Jeong, Eunbi
  • Oh, Cheol
  • Lee, Jaewan
• Conference:
  • 23rd International Technical Conference on the Enhanced Safety of Vehicles (ESV)
  • Location: Seoul , Korea, South
  • Date: 2013-5-27 to 2013-5-30
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 8p
• Monograph Title: 23rd International Technical Conference on the Enhanced Safety of Vehicles (ESV): Research Collaboration to Benefit Safety of All Road Users

Subject/Index Terms

• TRT Terms: Automatic crash notification; Crash data; Crash severity; Emergency response time; Fatalities; Logistic regression analysis; Methodology; Traffic crashes
• Geographic Terms: Korea
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I85: Safety Devices used in Transport Infrastructure;

Filing Info

• Accession Number: 01571444
• Record Type: Publication
• Report/Paper Numbers: 13-0280
• Files: TRIS, ATRI, USDOT
• Created Date: Jul 20 2015 5:13PM