Widely deployed in-vehicle Advanced Driver Assistance Systems (ADAS) have potential to reduce crash rates by 47 percent.

Study estimates the potential reduction in crashes due to the application of Advanced Emergency Braking Systems (AEBS) Adaptive Cruise Control (ACC) and Lane Departure Warning (LDW) systems.

June 2017

Summary Information

Advanced Driver Assistance Systems (ADAS) aim to raise road safety by providing the driver with warnings to avoid car accidents and other road threats or by directly taking control of the vehicle. This study estimated the potential reduction in the number of accidents due to the application of ADAS equipment on Polish roads.


Statistical data on crashes on Polish roads in 2015 was used as the basis for preliminary risk assessment. Potential reduction of the number of crashes due to ADAS equipment per each type of crash was estimated using an expert method that assessed which system would reduce the crash rate and to what extent.
The following ADAS subsystems were considered:
  • Advanced Emergency Braking System (AEBS)
  • Adaptive Cruise Control (ACC)
  • Lane Departure Warning (LDW)

Data from police reports for 2015 connected with data on causes and types of crashes were used to assess the changes in safety. Safety improvement was determined using the reduction of crashes coefficient specifying the percentage of crashes that could have been avoided if ADAS have been applied. This number was calculated using the expert method that assessed the various causes and types of crashes.


Overall, with all three systems deployed the crash rate can be reduced by an estimated 47 percent.

  • AEBS technology has potential to reduce the crash rate by 33 percent
  • ACC has potential to reduced the crash rate by 27 percent
  • LDW has potential to reduced the crash rate by 4 percent.

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Preliminary Assessment of the Advanced Driver Assistance Systems Efficiency from the Safety Point of View

Author: Papis, Mateusz; Tomaz Dziewonski; and Marek Matyjewski

Published By: Autobusy

Source Date: June 2017

Other Reference Number: 6/2017, pp 375.



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Benefit ID: 2017-01216