From Transit, Construction and Distribution to Long Haul and traditional fleets, the Government and Public Service sectors encompass a wide range of service fleets.
Vehicle and fleet types vary widely, including:
The reality is, Public Sector vehicles perform almost every on-road task there is. For this reason, we see a number of risk profile similarities across Public Sector and traditional commercial verticals, including speeding, tailgating, mobile phone use and more.
Improvement in Following Distance
Improvement in Posted Speed Violation
Improvement in Late Response
We compared the prevalence of Public Sector behaviours against those across all other industries protected by DriveCam in fleet operations. Improvements achieved when the DriveCam program was deployed include:
Speed policy violation, which occurred 68% less often
Late response, which occurred 48% less often
Near collision, which occurred 27% less often
Following distance risk, which occurred 53% less often
Common risky driving behviours observed within a fleet, as well as benchmarking data from fleets both insides and outside of a specific industry are helpful metrics for understanding indusry-specific challenges, guiding safety efforts and then measuring success.
To better identify and address top areas of driving risk within their individual fleets, thousands of organisations use the best-in-class DriveRisk Driver Safety Program; these organisations experience on average up to 50% reduction in collisions and up to 80% on associated claims costs as a result.
At Optix we see a range of issues across each of these on-road tasks. Some are similar, while some are more specific to areas like Waste and Fleet Services due to the nature of their operation, as well as increased hazards associated with operating in metro environments. The challenges faced are a composite of those in those other categories.
Lytx also found that 55% of medium-impact collisions among Public Sector fleets involved a side impact. This is likely a result of poor spatial awareness and not correctly scanning the road ahead or at intersections. Of those, 40% involved traffic violations, such as “failure to stop”.
These insights were derived from Lytx’s proprietary database of public-sector driving data, including 328,000 risky public-sector driving events captured last year. For comparisons across industries, Lytx calculated behaviour averages from its global database, which contains driving data from trucking, distribution, concrete, construction, services, transit, utilities and waste industries.
Lytx maintains the fastest-growing proprietary database of professional driving data in the world, currently surpassing 200 billion kms of driving data. The data is anonymised, normalised and in instances of behaviour prevalence, is generalisable to public-sector fleets at large.