A digital revolution is transforming the way we monitor vehicles and drivers. In-vehicle data recorders, also known as ‘telematics’, are capable of recording and processing a large amount of information at an extraordinary rate. If used effectively, this information can help fleet managers reduce road risk within their organisation [1].
New guidance from Global Fleet Champions outlines how fleet managers can get maximum benefits from their investment in telematics systems, from gathering the most relevant information, to analysing the data captured and encouraging drivers to follow recommendations for safer driving behaviour.
Telematics – What next? features advice from key industry players, including Verizon Connect, who advise fleet managers on howto utilise telematics effectively, including using gamification techniques to engage drivers with the technology [2].
Meanwhile Selim Cavanagh, explains how insurance firm ingenie takes a data-driven approach to behavioural change – using telematics to recognise risk patterns and develop positive interventions.
Sarah Plumb, senior fleet officer at Brake, the road safety charity, said: “Global Fleet Champions guidance for fleet managers outlines best practice for anyone who employs people who drive for work, to help them manage work-related road risk.
“Vehicle technology such as telematics can help fleet managers identify and address risky driving behaviour to prevent crashes. It can also help us understand why crashes occur so we can prevent them from happening again. Safe vehicles are vital for safe and healthy journeys and we urge all fleet managers to choose the safest vehicles they can afford, and to utilise technology such as telematics, to help keep drivers and all road users as safe as possible on our roads.”
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[1] International Transport Forum, Discussion Paper 15: Data-led governance, 2017
[2] Steinberger, F. et al. (2017), From road distraction to safe driving: Evaluating the effects of boredom and gamification on driving behaviour, physiological arousal, and subjective experience, Computers in Human Behaviour, Vol 75.