The table above outlines the the events captured (average for 15 vehicles, and normalized to per 100 KM traveled) for both silent mode and live mode, based on best weekly scores in both phases. It is encouraging to see a behavioral improvement for both heading warning (ie. following too close) and lane departure warning (ie. changing lane without giving turn signal). These two unsafe habits are the main reasons for rear-end and side swipe collision on the road.

From Individual driver perspective, there was also reduction between 14% to 78% in overall warning count. This disparity is due to each driver’s different base behaviour and clearly shows the upside from a high base count. The test allowed the identification of different driver’s behaviour in operating the same type of vehicle and operations. With this information, individual driver behaviour improvement can be better targeted and managed. Such insights support the introduction of a driver risk assessment framework to mitigate behaviour risk while on the road, including any safety incentive program.