Calculating reliable and objective risk scores
For example, accelerating quickly on a highway ramp would be safer than accelerating slowly and attempting to merge into the traffic flow at a slower speed. The discrepancy in speed between the merging vehicle and those around it increases the chance of an accident. In a standard ABCS analytic system, a driver could be penalized for accelerating too quickly, especially if they had to take an outdated or poorly designed ramp regularly, even though in this situation, it would be the safer way to drive.
The same can go for braking. It would be safer to hit the brakes a little harder on the off-ramp than to start slowing down on the highway when coming across a shorter than normal off-ramp. Also, coming up on a pedestrian crosswalk or school zone can create excessive braking, multiple brake hits, or drag braking, which all could cause issues in a standard telematics system. Traditional systems that factor in speed only look at vehicle speed and speed limit. No – or few – other factors are accounted for, like road layout, conditions, signage, topology, and weather conditions, all of which can greatly change how to drive properly.
Meanwhile, poor road conditions can increase stopping distance and diminish the life of suspension components. Road signs are there for a reason, but drivers overlook or ignore many of them, which creates a greater risk of accidents, especially in animal crossings. Finally, driving in fog or rain can greatly reduce visibility, and slower speeds should be observed to drive safely. With the ability to track weather conditions, driver profiles would be much more accurate.