Do lap timers encourage bad behavior?
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Specializing in Professional, Private Driver Performance Evaluation and Optimization
Consultation Available Remotely and at VIRginia International Raceway
#377
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Originally Posted by ProCoach
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Some of these ideas can be combined. For example, data acquisition can be used not only as a tool to help drop lap time, but the data can also be analyzed to judge whether the driver is engaging in bad behavior, and the insurance premium can be adjust accordingly (both discount for good behavior, and higher premium or cancellation for bad behavior). It's not a new idea, been around for years:
https://www.insurancejournal.com/new.../18/389327.htm
https://www.naic.org/cipr_topics/top..._insurance.htm
https://blog.gallagherbassett.com.au...ased-insurance
Of course, using data to judge behavior on track may be more challenging than on the road, since we intentionally push cars hard on the track and generate high g-forces and speeds. But everyone who's spent a lot of time in the right seat has an intuitive sense of what bad behavior looks, feels, and sounds like - independent of the lap time - and it should be possible to find patterns in the data which correlate strongly with that intuitive sense.
Moreover, if drivers know that a insurance company is observing their driving behavior through data, and will fairly adjust their premium based on that behavior (not based simply on lap time, top speeds, peak g-forces, etc.), that should weed out the minority of drivers who intended to buy insurance so that they could behave badly, and would motivate the drivers who do buy the insurance to not behave badly.
https://www.insurancejournal.com/new.../18/389327.htm
https://www.naic.org/cipr_topics/top..._insurance.htm
https://blog.gallagherbassett.com.au...ased-insurance
Of course, using data to judge behavior on track may be more challenging than on the road, since we intentionally push cars hard on the track and generate high g-forces and speeds. But everyone who's spent a lot of time in the right seat has an intuitive sense of what bad behavior looks, feels, and sounds like - independent of the lap time - and it should be possible to find patterns in the data which correlate strongly with that intuitive sense.
Moreover, if drivers know that a insurance company is observing their driving behavior through data, and will fairly adjust their premium based on that behavior (not based simply on lap time, top speeds, peak g-forces, etc.), that should weed out the minority of drivers who intended to buy insurance so that they could behave badly, and would motivate the drivers who do buy the insurance to not behave badly.
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