Here’s How Fleet Managers Can Monitor Driver Penalties And Fines


Driver qualifications and monitoring road behavior are cornerstones of fleet management. It’s necessary to find a handful of skilled drivers that can be safe on the road and efficient in delivering goods.

This is because fleet fines and infringements account for a large portion of global costs. The expenses include not only the actual money originally paid for the crime but also the administrative work that they entail.

According to Automotive Fleet, toll collection, parking, and photo enforcement contribute to more than 95% of vehicle infringement.

Among these, 56% of violations are toll offenses, 22% are parking violations, 12% are from red-light cameras, and 8% from speeding cameras.

More importantly, traffic offenses are not attributed to the driver, but the vehicle’s registered owner. This misattribution can lead to various problems for the fleet management firm, which is usually the owner of the vehicle.

The Challenges Of Monitoring Drivers And Tracking Fines

Let’s first consider some existing flaws in the fleet business in terms of monitoring driver penalties and then look at the solutions that technology can provide:

No Timely Action

As mentioned above, traffic infractions are levied on the vehicle registrant, and, in several cases, they will simply pay the money to avoid more punishments.

More often than not, fleet management firms also postpone identifying the drivers that were guilty of the infraction because the process is a time-consuming one that often does not lead to success.

That is why, when handling the infringements of the fleet, the task of locating the culpable driver can become a real challenge.

No Processes In Place

Despite the fact they know they’re going to need it, some companies do not have a procedure in place or just don’t monitor their drivers. Ultimately, they wind up paying for the violations.

By doing so, fleets are not aware of a driver’s violation record or their drivers most at risk.

Not having important driver documents such as a medical certificate on hand can also open another can of worms for the fleet management department – litigation and lawsuit issues.

No Way To Educate Drivers

Although many drivers are skilled in their own right, they may inadvertently indulge in poor driving practices such as braking too suddenly, accelerating, and refueling too frequently.

Plus, regardless of how many people point it out, some drivers still take risks on the road by driving under the influence or breaking traffic rules.

Without any driver history records, fleet managers cannot educate their fleet operators on the consequences of rule-breaking and implement the necessary disciplinary actions for excessive fines.

This is where monitoring driver conduct through driver AI technology, which can capture driver activity 24/7, comes as a godsend to fleet managers.

The Significance Of Technology In Monitoring Driver Penalties

Fleet owners and managers can use AI to establish a robust, fool-proof system that enables them to recognize and monitor irresponsible driver behavior.

It helps them in not only monitoring erratic driving styles but also establishing measures to find the drivers responsible, thereby saving time on back-office practices.

Making use of vehicle management technologies offers managers data on the trips that a vehicle has undertaken. The data takes into account the average length and the purpose of such trips.

When the relevant data is analyzed and displayed, it can serve as valuable business management and compliance tool. The metrics can even be a guiding light for training and road safety programs.

As such, driver AI technology is important for fleet operators of all sizes who want to strengthen and enhance their fleet visibility and the oversight of vehicle use, in addition to tracking driver behavior 24/7.

Thanks to such systems, fleet managers will be able to see substantial cost savings as they begin to handle mileage due to a decreased rate of mistake, fraud, and waste.

How Fleets Can Use Driver AI To Monitor Driver Behavior

In an increasingly tech-savvy world, the ability to harness the power of digital integration and AI is more important than ever.

AI-powered telematics systems help relay information like the location and distance traveled by a vehicle.

These systems exist on a spectrum, ranging from low-cost, off-shelf systems that offer basic navigation aid to incredibly precise, real-time tracking systems.

The advantages of AI telematics systems are multi-layered. Aside from the movement of people and vehicles on the road, these devices also influence the timely and efficient delivery completion of jobs.

Identifying Problematic Behaviors

AI-powered telematics, including fleet dash cameras, provide a wide range of circumstances that filter good drivers from the bad ones.

Such filtering frameworks may include hard braking, driver drowsiness, tailgating, distracted driving, and traffic signal violations. The information can be analyzed to learn the behavior of the vehicles and their drivers.

Video Footage

What’s more, driver AI systems also record videos to do away with the need of reviewing countless hours of footage to find the precise event to be assessed.

It eliminates irrelevant footage and makes the right piece of video content available in real-time.

Real-Time Tracking

Another significant benefit of AI-powered telematics is the ability to track the location and performance of construction equipment—ultimately streamlining utilization.

Peering Into The Future

Forward-thinking companies are heavily investing in computer vision technology and algorithms to these monitoring and alert systems smarter.

Research is in progress to train sophisticated driver AI systems further to make them more aware of driver behavior. These systems will eventually be able to predict human actions on the road.

Further, visual AI can help create use cases, thus allowing researchers to discover additional sources of distraction for drivers and come up with ways to warn drivers about them.

If AI is integrated with these novel systems, it may become a milestone for all transport mediums on roads.

Emergency braking systems can be made effective by associating them with forwarding warning collision systems soon, thereby stopping violations before they can occur.

The Bottom Line

AI technologies can provide the right information and data to fleet managers so that, once they’ve been processed, they can deliver insights into planning and operational decisions.

This can dramatically transform a business’s fleet operations and generate significant cost savings.


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