Fleet safety is a top priority for enterprise organizations in today's fast-paced business environment. Accidents can be costly, not only in terms of vehicle damage but also in terms of lost productivity, legal liabilities, and brand reputation. Considering this, businesses must take proactive steps to reduce risk in their fleets continuously.
While the market is flooded with safety technology such as telematics systems, GPS, auto braking, lane departure warnings, and dashcams, it might be tough to decide which path to take to safeguard your drivers and achieve the desired accident-free result.
Further, even the best fleet safety technology misses certain safety events and produces inaccurate assessments of driver performance. They can also make it difficult for businesses to interpret and contextualize the data they collect in a meaningful and actionable way.
To help you get started, we’ve provided a brief overview of their limitations below.
While telematics solutions are widely used in the industry, they can present significant difficulties regarding daily data analysis. These solutions generate large amounts of data, making it extremely challenging for managers and stakeholders to identify and address real-time safety issues.
Telematics solutions may require continual monitoring, overburden managers with excessive daily alerts, and provide data that can be complex and difficult to interpret without the right tools and expertise.
Telematics |
Data Analysis Challenges |
GPS location data |
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Vehicle performance data |
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Driver behavior data |
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While GPS technology is useful for tracking vehicle location and optimizing routes, it falls short when it comes to understanding driver behavior and identifying risk. GPS alone will not offer enough information for an enterprise organization to detect and address risky driver behaviors such as hard braking, cornering, and speeding.
GPS data can be difficult to interpret effectively when other contextual elements, such as weather and road conditions, are not considered.
GPS |
Data Analysis Challenges |
Location data |
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Route data |
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Geofencing data |
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Dash cam technology can help capture video footage of driving events, but it, like other solutions, can overwhelm fleet managers with the sheer volume of data generated by these systems. Further, drivers may resent the presence of driver-facing cameras and see them as an invasion of privacy.
Camera footage may not always provide the context to interpret driver behavior. It might also be challenging to tag events, retrieve events, and review data. As a result, managers may be unable to identify and address safety issues in real time.
Dash Cams |
Data Analysis Challenges |
Video footage |
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Audio recordings |
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Metadata |
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Now that we've reviewed some of the top fleet safety technologies' everyday challenges, here are some best practices for businesses to follow to improve fleet safety and get results, considering the typical limitations of GPS, telematics, and dash cams:
Are you struggling with challenges related to fleet safety, such as difficulty obtaining data from events, disputes between drivers and customers, and lack of visibility into the complete lifecycle of scheduled service? Tourmo can help.
Our AI-powered solutions can help you overcome problems associated with the most popular safety solutions, enabling you to increase fleet safety and performance levels immediately. Our solutions provide comprehensive insights into fleet operations and leverage your current safety technologies with no expensive rip-and-replace involved.
Tourmo AI’s Video Operations solution can bring several benefits to your organization, including:
Enterprise organizations must continually prioritize fleet safety to reduce the risk of accidents and associated costs. With the best practices in this article, it’s possible to improve fleet safety and achieve measurable results, even in the face of common limitations of current fleet safety technologies.
Suppose your organization is currently utilizing several safety technologies and seeing diminishing returns. Consider how consistent driver training and using an AI-powered mobile workforce solution, such as Tourmo AI, can help you get the most out of your existing solutions and improve driver performance, efficiency, and safety levels.