Methods for Analysis of Naturalistic Driving Data in Driver Behavior Research

@inproceedings{Brgman2016MethodsFA,
  title={Methods for Analysis of Naturalistic Driving Data in Driver Behavior Research},
  author={Jonas B{\"a}rgman},
  year={2016}
}
In the last several years, the focus of traffic safety research—especially when performed in association with the automotive industry—has shifted from preventing injury during a crash to avoiding the crash altogether or mitigating its effects. Pre-crash safety measures include intelligent safety systems (e.g., different levels of automated driving), infrastructure design, behavior-based safety, and policy-making. Understanding driver behavior is crucial in the development and evaluation of such… CONTINUE READING

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SHOWING 1-10 OF 166 REFERENCES

Lytx - Delivering insights

Lytx.
  • Driving results. Retrieved from http://www.lytx.com/
  • 2016
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

Preliminary analysis plan - UDRIVE D11.2

F. Utesch, J. Bärgman, +4 authors G. . . Saintpierre
  • 2014
VIEW 22 EXCERPTS
HIGHLY INFLUENTIAL

Lytx - Delivering insights

Lytx.
  • Driving results. Retrieved from http://www.lytx.com/
  • 2016
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

SmartDrive main webpage

SmartDrive.
  • Retrieved from http://smartdrive.net/
  • 2016
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

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