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Comprehensive target populations for current active safety systems using national crash databases.

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Active safety systems can prevent or mitigate millions of crashes annually. This study developed new precrash scenarios to identify target populations for these systems, potentially reducing serious and fatal crashes.

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Area of Science:

  • Road safety
  • Automotive engineering
  • Traffic accident analysis

Background:

  • Active safety systems aim to prevent or mitigate collisions.
  • Identifying the target population of crashes is crucial for system design.
  • Forward collision warning (FCW) is effective in rear-end crash scenarios.

Purpose of the Study:

  • To present a novel set of precrash scenarios.
  • To identify target populations for active safety systems using these scenarios.
  • To quantify the potential impact of active safety systems on US crashes.

Main Methods:

  • Utilized 4 national crash databases: NASS-GES, NASS-CDS, FARS, and NMVCCS.
  • Derived crash scenarios using precrash variables (critical event, accident type, precrash movement).
  • Applied scenarios to identify target populations for FCW, PCAS, LDW, and V2V/V2I systems.

Main Results:

  • Active safety systems could potentially mitigate approximately 1 in 5 all-severity and serious injury crashes.
  • These systems could mitigate 26 percent of fatal crashes in the United States.
  • This translates to an annual mitigation of 1.2 million all-severity, 14,353 serious injury, and 7,412 fatal crashes.

Conclusions:

  • The developed precrash scenarios enable quantification of active safety system applicability.
  • Researchers can use the provided source code for future research on crash scenarios.
  • Active safety systems show significant potential for reducing crashes and improving road safety.