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Related Experiment Videos

Crash pulse recorder--validation in full scale crash tests

A Kullgren1, A Lie, C Tingvall

  • 1Department of Ear, Eye and Skin, Karolinska Institute, Stockholm, Sweden.

Accident; Analysis and Prevention
|October 1, 1995
PubMed
Summary

A new low-cost Crash Pulse Recorder (CPR) accurately measures vehicle crash pulses in real-world accidents. This on-board device provides reliable data for accident reconstruction, improving upon traditional methods that rely solely on vehicle deformation analysis.

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Area of Science:

  • Road Safety
  • Vehicle Dynamics
  • Accident Reconstruction

Background:

  • Accurate estimation of accident severity is crucial for reconstruction and analysis.
  • Traditional methods using vehicle deformation have limitations in accuracy compared to laboratory tests.
  • On-board measurement techniques are needed for real-life accident data collection.

Purpose of the Study:

  • To evaluate the accuracy and precision of a low-cost on-board device, the Crash Pulse Recorder (CPR), for measuring crash pulses in real-world vehicle accidents.
  • To assess the systematic and random errors associated with the CPR's measurements.
  • To integrate the CPR into a comprehensive accident data collection system.

Main Methods:

  • The Crash Pulse Recorder (CPR) utilizes a spring-mass system to measure acceleration time history during a collision.

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  • Full-scale crash tests were conducted, including offset, angled, car-to-car, and barrier impacts.
  • Systematic and random errors of the CPR were analyzed.

    • Main Results:

    • The CPR demonstrated reliable performance in various impact scenarios.
    • Random error for delta V measurements was found to be 2.2 km/hr.
    • Random error for mean acceleration was found to be 0.6 g.

    Conclusions:

    • The CPR is a viable low-cost solution for on-board crash pulse measurement in real-world accidents.
    • The device offers improved accuracy compared to traditional methods relying on vehicle deformation.
    • The CPR enhances accident data collection systems for more precise analysis.