An Analysis of the Relative Effectiveness of Advanced Driver Assistance Technologies Using Insurance Claims Information.
Nationwide, United States
Compendium of HLDI collision avoidance research
Summary Information
Auto manufacturers are increasingly equipping newer model vehicles with a wide variety of advanced driver assistance systems (ADAS). ADAS are technologies that aim to make driving safer and easier by partially automating driving tasks or by providing the driver with additional information about the environment. Examples of ADAS include forward collision warning, automatic emergency braking, lane departure warning, blind spot warning, and park sensors.
Researchers at the Highway Loss Data Institute, a part of the Insurance Institute for Highway Safety, studied the real-world effects of eight different ADAS on driver safety. The eight technologies studied were:
To study these technologies the team gathered detailed insurance claims data provided by car insurance companies. The team then figured out which vehicles involved in the insurance claims had ADAS. Finally, the team used regression to estimate the relative impact of each type of ADAS system on crash frequency and crash severity. The team found:
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