FLEET MANAGEMENT A
s such, telematics is playing a crucial role by providing valuable data and insights that enable better decision- making, while facilitating improved communication and collaboration between the
transport manager and drivers.
IDENTIFYING AND MITIGATING TRUE RISK Significant progress is being made in understanding true fleet risk according to Steve Thomas, Managing Director of Ctrack UK: “By bringing together fleet and video telematics with various other data sources, it will increasingly become possible to interrogate a wider range of historical and real-time information. This allows details such as points on licence, speeding fines, completed training and driving experience to be considered alongside behaviour, incidents, near misses, fuel usage, speed limits, road type, driving time and weather conditions.” By making sense of numerous risk
elements, transport operations can create a complete picture of driver performance, which leads to highly accurate risk scoring and supports enhanced gamification, incentivisation and engagement strategies. “This added context and understanding will enable them to focus their often-stretched fleet resources on the greatest threats within their vehicle operations.” Thomas adds. Sam Footer, Partnership Director
at SureCam agrees that the growing sophistication of telematics platforms, underpinned by advances in data analysis and connectivity, has huge potential for road safety. “We will see AI increasingly embedded into cloud-based platforms to provide fleet and transport managers with the tools needed to better coach drivers and help them correct their driving styles in real-time. With the introduction of predictive recommendations and targeted coaching, it will become possible to reduce fleet risk, based on a detailed understanding of driver performance.”
AVOIDING INFORMATION OVERLOAD However, issues remain around the amount of data telematics provides, often from multiple systems and hardware. SureCam’s Footer suggests that there has been a major problem with information overload, especially as the latest smart vehicle cameras capture a growing range of driver risk events. “Overstretched fleet and transport management teams are struggling to handle the avalanche of alerts and video uploads generated by AI cameras, which is certainly impairing their ability to best use the technology.” Vehicle cameras typically upload video
clips based on g-force events, but often these are triggered by false positive events such as harsh driving, potholes and speed humps. Many smart dashcams also incorporate multiple AI models to monitor how a vehicle is driven and driver behaviour behind the wheel. For example, nine AI models, covering distraction, fatigue and other driving events,
18
EMPOWERING DRIVER MANAGEMENT WITH FLEET AND VIDEO TELEMATICS INNOVATION
By SureCam
For any business with a commercial vehicle operation, managing drivers is a complex challenge in terms of safety, compliance and risk, which requires a comprehensive approach that incorporates robust processes and leverages advanced fleet technology solutions
each triggering a single, daily alert, would generate 450 videos to view and act upon. If it takes just one minute per alert, then you are still looking at a full-time role just to keep track. Footer believes that the best alert is the
one you do not get, so it is about having clever features that minimise the number of triggered events, while ensuring the driver receives the support and guidance needed. “If you have a process, for example, where the driver can correct their behaviour within the set time limit to avoid an alert, this can eliminate between 50 and 90 per cent, while providing effective in-cab coaching.” According to Vernon Bonser, UK Sales
Director Queclink Wireless Solutions, AI will enable fleets to analyse huge amounts of data quickly and effortlessly, to gain operational insight and trends that were previously
SEPTEMBER 2025 | FACTORY&HANDLINGSOLUTIONS
impossible to compile: “The challenge for fleet and video telematics has always been how to best compile, review and then act on visible trends, which is where the risk reduction and return on investment sits. The time needed to simply examine daily driver behaviour events for a medium or large sized fleet is significant, and when you add video into the equation, it would be impossible for a single person or even a small department to evaluate efficiently.” With post event machine vision, telematics
software can view the video clips and flag up those that need attention. This means a transport manager can quickly focus on actual collisions or an incident where a vulnerable road user (pedestrian, motorcyclist or cyclist) was involved. AI technology of this kind has already been shown to reduce the number of videos needing review by as much as 99 per
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50
