orange gradient

Risk Prevention on the Road: Modelling Driver Behaviour

Our Minerals America regional safety team have sought to improve how we control vehicle-related risk through the implementation of new technology.  

As part of an effort to further understand and identify risk prevention opportunities on the road,  our regional safety team sought to better understand how technology can ‘model’ or predict driver behaviour in a way that indicates signs of riskier driving, such as speeding or non-compliance at stop-signs. Identifying these behaviours enables the regional safety team to work with employees on specific elements of their driving behaviour with an aim to further reduce the probability of having an accident.   

We began modelling driver behaviour by engaging an industry leading asset tracking software company to provide innovative and specialised technology which is able to capture and monitor a vehicle’s speed and acceleration every three seconds. Using this information, the technology generates an algorithm that is capable of assessing drivers activities and categorising them from low to high behavioural risk. The technology was implemented in two phases across our fleet in Spence, Chile. Phase one aimed to confirm that the technology was robust and could comply with all relevant safety requirements, as well as those related to cybersecurity. It was then successfully piloted across 600 vehicles, expanding to a further 1,300 vehicles and 6,000 drivers in phase two.  

Thanks to implementing this technology solution, our safety and security teams can provide specific feedback with relevant employees onsitee according to each driver’s assessed ranking on the basis of their driving behaviours observed by the technology solution.