Driver Behavior: How Telematics Improves Road Safety

The safety of our roadways is a paramount concern for both individuals and society as a whole. Every year, thousands of lives are lost and countless injuries occur due to accidents on our roads. While factors like road conditions and vehicle safety play a role in these incidents, one of the most significant contributors to accidents is often overlooked – driver behavior. 

Understanding how drivers behave on the road is crucial for improving road safety and reducing accidents. To this end, telematics is a powerful tool for analyzing driver behavior and enhancing road safety through improved training.

Telematics, a field at the intersection of telecommunications and informatics, has emerged as a game-changer in the world of road safety. Telematics systems, equipped with advanced sensors and data collection capabilities, provide a wealth of information about how vehicles are operated. This technology enables us to gain deep insights into driver behavior, allowing us to identify risky patterns and areas for improvement.

Telematics has not only revolutionized the way we monitor vehicles but also holds the potential to transform how we train drivers. By harnessing the power of data and technology, telematics systems offer a new approach to driver training that is personalized, data-driven, and highly effective.

In this article, we will delve into the world of telematics and driver behavior analysis, exploring the ways in which telematics systems collect and utilize data to provide a comprehensive understanding of how individuals behave behind the wheel. We will also examine the profound impact that telematics can have on driver training programs, leading to safer roads, more skilled drivers, and ultimately contributing to a safer and more responsible driving culture.

Understanding Telematics

Telematics, a term derived from “telecommunications” and “informatics,” refers to a multidisciplinary field that combines communication technology, data analytics, and information systems to collect, transmit, and analyze data related to remote objects, such as vehicles. Essentially, telematics involves the use of integrated technologies to monitor, record, and transmit information about vehicles’ behavior and performance, along with the conditions and activities surrounding them.

Telematics systems rely on a combination of hardware and software components to gather data from vehicles and communicate it to a central server or database. These systems typically consist of the following elements:

  • Onboard Devices: Telematics devices are installed in vehicles and include GPS receivers, accelerometers, sensors, and communication modules. These devices collect data on vehicle speed, location, acceleration, braking, engine diagnostics, and more.
  • Data Transmission: The collected data is transmitted in real-time or periodically to a central server or cloud-based platform using wireless communication technologies like cellular networks or satellite connections.
  • Data Storage and Processing: The data is stored securely and processed to extract meaningful insights. Advanced analytics and algorithms are often used to transform raw data into actionable information.
  • User Interface: Telematics systems offer user-friendly interfaces for vehicle operators, fleet managers, and other stakeholders to access and interpret the data. This can include web-based dashboards, mobile apps, and reports.

Common applications of telematics in the automotive industry

Telematics technology has found a wide range of applications in the automotive industry, including:

  • Fleet Management: Telematics systems are invaluable for businesses with vehicle fleets. They enable real-time tracking of vehicles, optimize routes, monitor fuel efficiency, and provide maintenance alerts, leading to cost savings and improved efficiency.
  • Vehicle Diagnostics: Telematics can monitor a vehicle’s health and diagnose potential issues, helping drivers and service technicians address problems before they lead to breakdowns.
  • Insurance Telematics: Insurance companies use telematics to offer usage-based insurance policies. These policies consider individual driving habits and reward safe driving with lower premiums.
  • Stolen Vehicle Recovery: Telematics systems can assist in tracking and recovering stolen vehicles by providing real-time location data to law enforcement.
  • Driver Behavior Analysis: As the focus of this article, telematics plays a crucial role in analyzing and improving driver behavior by monitoring factors like speeding, harsh braking, and erratic driving.

The evolution of telematics technology

Over the years, telematics technology has undergone significant evolution. Initially, it was primarily used for basic tracking and diagnostics. However, advancements in hardware, connectivity, and data analytics have transformed telematics into a multifaceted tool for both individuals and businesses.

The integration of GPS and the widespread availability of high-speed cellular networks have enhanced the precision and speed of data transmission. Additionally, the development of sophisticated algorithms and artificial intelligence has allowed for more accurate and insightful analysis of telematics data. This evolution has opened up new possibilities for improving road safety, enhancing driver training, and achieving greater efficiency in various industries that rely on vehicle operations.

The Significance of Driver Behavior Analysis

Understanding and analyzing driver behavior is a critical aspect of road safety and transportation management for several key reasons:

  • Accident Prevention: Driver behavior is a leading cause of accidents on the road. Analyzing it allows us to identify risky behaviors and intervene before accidents occur.
  • Cost Reduction: Accidents lead to significant financial costs for individuals and organizations. By identifying and addressing unsafe driving habits, we can reduce repair costs, insurance premiums, and legal expenses.
  • Environmental Impact: Aggressive driving behaviors like speeding and rapid acceleration contribute to higher fuel consumption and emissions. Analyzing and mitigating these behaviors can reduce the environmental impact of transportation.
  • Resource Efficiency: Efficient driving behaviors, such as smooth acceleration and braking, can lead to fuel savings and extend the lifespan of vehicles. Driver behavior analysis helps optimize resource usage.

The impact of driver behavior on road safety

Driver behavior has a direct and profound impact on road safety. Unsafe driving behaviors can lead to accidents, injuries, and fatalities. Here are some examples of how driver behavior influences road safety:

  • Speeding: Excessive speed reduces reaction time and increases the severity of accidents. It is a major contributor to road fatalities.
  • Aggressive Driving: Behaviors like tailgating, weaving between lanes, and road rage can lead to accidents and road rage incidents.
  • Distracted Driving: Using mobile phones, eating, or engaging in other distractions while driving impairs a driver’s attention and reaction time.
  • Fatigue: Drowsy driving can be as dangerous as drunk driving, as it impairs a driver’s ability to stay alert and make quick decisions.
  • Impaired Driving: Alcohol, drugs, or prescription medications can impair a driver’s judgment and coordination, significantly increasing the risk of accidents.

The benefits of proactive driver training

Proactive driver training is a crucial strategy for mitigating the negative impact of unsafe driver behaviors. By identifying areas where drivers can improve and providing targeted training, organizations can achieve several benefits:

  • Reduced Accidents: Well-trained drivers are less likely to engage in risky behaviors and are better equipped to respond to challenging road conditions, leading to fewer accidents.
  • Lower Insurance Costs: Organizations that invest in driver training may qualify for lower insurance premiums due to improved safety records.
  • Improved Fuel Efficiency: Training can teach drivers how to operate vehicles more efficiently, reducing fuel consumption and costs.
  • Enhanced Reputation: Companies that prioritize driver safety demonstrate responsibility and care, which can enhance their reputation among customers and partners.

The role of data in driver behavior analysis

Data plays a central role in driver behavior analysis. Telematics systems collect a wealth of data related to driver behavior, including speed, acceleration, braking, and more. This data is instrumental in:

  • Identification: Telematics data helps identify specific behaviors or patterns of behavior that need attention, such as frequent speeding or harsh braking.
  • Benchmarking: Data allows organizations to establish benchmarks for safe driving behaviors and compare individual drivers or teams to these standards.
  • Customization: With data insights, driver training programs can be tailored to address the unique needs and challenges of individual drivers.
  • Feedback and Coaching: Telematics data can provide real-time feedback to drivers, helping them self-correct and improve their behavior on the road.
  • Performance Evaluation: Organizations can use data to evaluate the effectiveness of driver training programs and make adjustments as needed to achieve better results.

Telematics and Driver Behavior Analysis

Telematics systems employ a variety of sensors and technologies to collect data on driver behavior. Here’s an overview of how these systems capture crucial information:

  • GPS Tracking: Telematics devices incorporate GPS receivers to determine the vehicle’s location and speed. This data is essential for monitoring speed limits and tracking routes taken.
  • Accelerometers: Accelerometers measure changes in vehicle speed and direction, allowing telematics systems to detect rapid acceleration, harsh braking, and aggressive turns.
  • In-Vehicle Sensors: Many modern vehicles are equipped with in-vehicle sensors that provide data on engine performance, fuel consumption, and vehicle diagnostics. Telematics systems tap into this information to assess the health of the vehicle and the driver’s habits.
  • Onboard Cameras: Some advanced telematics systems include onboard cameras that record video footage both inside and outside the vehicle. This visual data can be valuable for analyzing driver behavior, such as distractions or risky maneuvers.

Types of data collected by telematics systems

Telematics systems collect a wide range of data points related to driver behavior and vehicle performance. These data types offer a comprehensive view of how drivers behave on the road:

  • Speed Data: Telematics systems record vehicle speed, enabling the assessment of speeding events and compliance with speed limits.
  • Acceleration and Braking: Data on acceleration and braking patterns help identify aggressive driving behaviors, such as rapid acceleration or harsh braking.
  • Cornering and Turns: Telematics systems monitor the vehicle’s behavior during turns, detecting instances of unsafe cornering and sharp turns.
  • Idling Time: Excessive idling can contribute to fuel wastage and emissions. Telematics data tracks idling time and patterns.
  • Location and Route Data: GPS data provides information on the vehicle’s location, route taken, and geofence breaches, allowing for route optimization and monitoring of adherence to prescribed routes.
  • Engine Diagnostics: Telematics systems gather data on engine health, including diagnostic trouble codes (DTCs), fuel efficiency, and maintenance needs.
  • Driver Identification: Some systems offer driver identification features, associating specific behaviors with individual drivers, which is useful for personalized training.

Real-time monitoring and feedback

One of the significant advantages of telematics systems is their ability to provide real-time monitoring and feedback to drivers. Here’s how it works:

  • Real-time Alerts: Telematics systems can issue immediate alerts to drivers for specific behaviors, such as speeding or harsh braking. These alerts can be audible, visual, or even sent as notifications to a mobile app.
  • In-Cabin Feedback: Some systems include in-cabin feedback devices, like audible warnings or seat vibrations, to prompt drivers to adjust their behavior.
  • Scorecards and Dashboards: Drivers can access scorecards or dashboards that display their performance in real-time, allowing them to monitor their driving habits and make improvements on the spot.

Data analysis and reporting tools

Telematics systems not only collect data but also offer robust analysis and reporting tools to transform raw data into actionable insights. Key features of these tools include:

  • Data Storage: Telematics systems securely store historical data for future reference and analysis.
  • Custom Reports: Users can generate custom reports that highlight specific driver behaviors or trends over time.
  • Trend Analysis: Telematics platforms use data analytics to identify long-term trends and patterns in driver behavior.
  • Driver Scoring: Drivers can be assigned scores or rankings based on their behavior, allowing for easy performance comparisons.
  • Training Recommendations: Some systems provide recommendations for targeted driver training based on individual performance data.
  • Predictive Analytics: Advanced telematics systems may incorporate predictive analytics to anticipate potential safety issues and recommend preventive actions.

In essence, telematics systems empower organizations with the tools they need to monitor, analyze, and improve driver behavior systematically, contributing to safer roads and more responsible driving habits.

Improving Training with Telematics

The integration of telematics data into driver training programs represents a significant advancement in driver education and safety. Here’s how telematics data can be effectively incorporated into training:

  • Baseline Assessment: Telematics data provides a starting point for driver training by establishing a baseline of each driver’s behavior. This baseline helps trainers identify specific areas requiring improvement.
  • Targeted Content: Training programs can be tailored to address the specific challenges and behaviors exhibited by individual drivers. For example, if a driver frequently exceeds speed limits, the training can focus on speed management.
  • Objective Evaluation: Telematics data offers objective metrics for assessing driver performance, reducing subjectivity in the training process. Trainers can use data to track progress and set achievable goals.
  • Simulated Scenarios: Telematics data can be used to create realistic driving scenarios in training simulators, allowing drivers to practice responding to situations identified as problematic in their behavior data.

Customized training plans based on individual driver behavior

Telematics data enables the creation of customized training plans that address the specific needs and habits of each driver. Here’s how this customization works:

  • Behavioral Analysis: Telematics systems analyze data to identify the most common and severe driving behavior issues for each driver, such as speeding, harsh braking, or distracted driving.
  • Training Modules: Based on the analysis, training modules are developed to target the identified issues. These modules may include videos, quizzes, interactive simulations, and in-person coaching sessions.
  • Progress Tracking: The effectiveness of the training is continually monitored using telematics data. Trainers and drivers can track improvements and make adjustments to the training plan as needed.
  • Individual Feedback: Drivers receive personalized feedback that highlights their specific strengths and areas for improvement. This feedback can be delivered through dashboards, mobile apps, or one-on-one coaching sessions.

Coaching and feedback using telematics insights

Telematics insights play a crucial role in coaching and providing feedback to drivers. Here’s how coaching and feedback can be enhanced through telematics:

  • Real-time Coaching: Telematics systems offer real-time coaching by providing immediate feedback to drivers when they exhibit risky behaviors. This can include audio warnings, visual alerts, or even notifications to a coach or supervisor.
  • Data-Driven Discussions: Coaches and trainers can use telematics data as a basis for constructive discussions with drivers. Instead of subjective assessments, discussions are based on objective data, making them more effective and actionable.
  • Positive Reinforcement: Telematics systems can also acknowledge and reward safe driving behaviors, reinforcing positive habits among drivers. For example, a driver with a consistently low speeding rate might receive recognition or incentives.
  • Progress Reports: Regular reports based on telematics data can be shared with drivers, highlighting their improvements and areas still needing attention. These reports can serve as motivational tools.
  • Continuous Learning: Telematics-enabled coaching encourages a culture of continuous learning and improvement among drivers. It’s not a one-time event but an ongoing process that adapts to changing behaviors and road conditions.

Telematics data empowers driver training programs to be more precise, effective, and tailored to individual driver needs. By combining behavioral analysis with targeted training and real-time feedback, organizations can create a safer and more skilled driver workforce.

Enhancing Road Safety

Telematics systems are invaluable tools for identifying high-risk behaviors among drivers, enabling organizations to take proactive measures to enhance road safety. Here’s how telematics helps identify these behaviors:

  • Data Analytics: Telematics platforms use data analytics to pinpoint specific high-risk behaviors, such as frequent speeding, harsh braking, rapid acceleration, and distracted driving incidents. These behaviors are often indicative of an increased likelihood of accidents.
  • Scoring Systems: Telematics systems often assign scores to drivers based on their behavior, allowing organizations to identify individuals with consistently poor driving habits. Drivers with lower scores are flagged for further attention.
  • Anomaly Detection: Telematics can detect anomalies or deviations from established norms, such as unusual routes or geofence breaches. These anomalies may signal high-risk activities or unauthorized vehicle use.
  • Pattern Recognition: By analyzing historical data, telematics systems can recognize recurring patterns of high-risk behavior, helping organizations anticipate and address potential safety issues.

Implementing safety policies and interventions

Armed with insights from telematics data, organizations can implement effective safety policies and interventions to mitigate high-risk behaviors:

  • Safety Policies: Telematics data can inform the development of comprehensive safety policies that outline expectations for safe driving behavior, consequences for violations, and incentives for safe driving.
  • Driver Training: Telematics data can identify areas where additional driver training is needed to address specific high-risk behaviors. Organizations can then provide targeted training to improve safety.
  • Policy Enforcement: Telematics data can be used to enforce safety policies through consequences like disciplinary actions or incentives for adherence to safe driving practices.
  • Interventions: Organizations can intervene in real-time when high-risk behaviors are detected. For instance, a supervisor or manager can contact a driver immediately if a telematics alert signals dangerous driving.
  • Regular Safety Reviews: Periodic reviews of telematics data allow organizations to assess the effectiveness of safety policies and interventions and make necessary adjustments.

The role of telematics in preventing accidents and reducing fatalities

Telematics plays a pivotal role in accident prevention and the reduction of road fatalities:

  • Early Warning: Telematics systems provide early warnings about high-risk behaviors, giving drivers the opportunity to correct their actions before accidents occur.
  • Accident Reconstruction: In the unfortunate event of an accident, telematics data can be invaluable for accident reconstruction. It provides crucial details about vehicle speed, location, and driver behavior leading up to the accident, helping investigators determine the cause.
  • Predictive Analytics: Advanced telematics platforms can use predictive analytics to anticipate potential accidents based on historical data and patterns. This allows organizations to take preventive actions, such as adjusting routes or providing additional training.
  • Reducing Fatalities: By identifying and addressing high-risk behaviors, organizations can significantly reduce the likelihood of accidents and, ultimately, fatalities on the road.
  • Safety-Centric Culture: Telematics systems contribute to the development of a safety-centric organizational culture, where both drivers and management prioritize safe driving practices, leading to fewer accidents and fatalities.

Telematics systems are instrumental in enhancing road safety by identifying high-risk behaviors, enabling organizations to implement effective safety policies and interventions, and ultimately preventing accidents and reducing fatalities on our roadways.

Overcoming Challenges and Concerns

While telematics technology offers substantial benefits, it also raises concerns about privacy and data security:

  • Data Privacy: Drivers may be apprehensive about their personal data being collected and monitored. Concerns over privacy can lead to resistance to telematics systems.
  • Data Security: The data collected by telematics systems is sensitive and must be protected from unauthorized access or breaches.
  • Regulatory Compliance: Organizations must comply with data privacy regulations, such as GDPR in Europe or state-specific laws in the United States, which can be complex to navigate.

Resistance to change among drivers

Implementing telematics systems and driver behavior analysis programs may face resistance from drivers for various reasons:

  • Perceived Surveillance: Drivers may feel like they are constantly monitored, leading to concerns about trust and autonomy.
  • Change in Work Habits: Drivers may need to adjust their driving habits, which can be met with reluctance, especially if they have been driving a certain way for a long time.
  • Training and Education: Drivers may resist additional training or feedback if they perceive it as an imposition or criticism.

Costs and implementation challenges

Introducing telematics systems and behavior analysis programs can pose financial and operational challenges:

  • Initial Investment: Acquiring and installing telematics hardware and software can be costly, especially for organizations with large fleets.
  • Integration: Integrating telematics systems with existing fleet management software or business processes can be complex and time-consuming.
  • Training: Properly training staff and drivers on how to use telematics systems and interpret data is essential but requires time and resources.
  • Maintenance: Telematics systems require ongoing maintenance and support, which adds to the total cost of ownership.

Strategies for addressing these challenges

To successfully implement telematics systems and driver behavior analysis programs while addressing these challenges, organizations can consider the following strategies:

  • Transparency: Communicate openly with drivers about the purpose and benefits of telematics. Assure them that data will be used for safety and improvement, not punishment.
  • Data Privacy: Implement strong data privacy and security measures, including encryption, access controls, and compliance with relevant regulations. Clearly explain data handling policies to drivers.
  • Driver Engagement: Involve drivers in the process by seeking their input and feedback. Encourage them to take ownership of their safety and provide opportunities for improvement.
  • Training and Education: Offer comprehensive training on how to use telematics systems and interpret data. Emphasize the benefits, such as improved safety, reduced insurance costs, and potential incentives.
  • Gradual Implementation: Introduce telematics systems gradually, allowing drivers to adapt to the technology and its insights over time.
  • Incentives: Consider offering incentives for safe driving behaviors, such as rewards, bonuses, or recognition.
  • Change Management: Employ effective change management strategies to overcome resistance and ensure that drivers and staff understand the value of telematics in improving safety and efficiency.
  • Vendor Selection: Choose a reputable and reliable telematics provider with a track record of success and strong customer support.
  • Continuous Improvement: Regularly assess the effectiveness of your telematics program and make adjustments based on feedback and data analysis.

Final Thoughts

In today’s world, where road safety is paramount, driver behavior analysis stands as a crucial pillar for mitigating risks and saving lives. Every year, accidents, injuries, and fatalities occur due to unsafe driving behaviors that can often be prevented or mitigated through proactive measures.

Telematics technology has emerged as a powerful ally in our quest for safer roads and better-trained drivers. Through the collection and analysis of data on driver behavior, telematics systems provide valuable insights that allow organizations to identify high-risk behaviors, tailor training programs to individual needs, and offer real-time feedback to drivers. By harnessing this technology, we can foster a culture of responsible driving and significantly reduce accidents on our roadways.

Fleets that prioritize road safety and the skill development of their drivers have a unique opportunity to make a positive impact on their operations and the broader community. 

To leverage the full potential of telematics for safer roads and better-trained drivers, we encourage you to contact a GoFleet consultant today. Our experts are ready to provide you with more information and guide you on the journey towards a safer, more responsible driving culture.

A Strategy To Reduce Fleet Collisions

When businesses require a fleet of vehicles to move their products from one location to another, it’s critical that they are focusing on promoting safety while on the road. When they are not doing this, sometimes drivers can accidentally drive in dangerous ways. Putting everyone on the road around them at risk. With technology improving to boost safety and reduce fleet collisions, managers and business operators must use it to their advantage.

 

Where The Concern Comes From 

 

Any vehicle accident is concerning. However, when a commercial motor vehicle is involved, sometimes the outcome of the incident can be much worse. As the size of the vehicles and the cargo carried are factors into making the collision worse for all parties involved, it sheds light on why commercial trucking is considered to be in the top 10 most deadliest jobs. In fact, in 2017, FMCSA reported that there were approximately 450,000 police-reported crashes involving large trucks. 

 

With the most common fatal accidents being transportation incidents, managers and drivers themselves can’t be forgoing certain precautions to reduce the risk of collisions and accidents. Below we list various ways fleet employees at every level can do their part to reduce fleet collisions. These tips must remain top of mind as by 2030, it is predicted that road crashes will be the fifth leading cause of death in the U.S. 

 

Commitment From Management 

 

Firstly, in order to reduce fleet collisions, there must be a specific level of commitment from management in regards to maintaining safety. This means that management must continually put the right enforcement in place. This can vary from strict policy to the adoption of new technological solutions, and everything in-between – all of which we touch upon later in this article.  

 

How Managers Can Reduce Fleet Collisions In Their Fleet

 

Enforcing Strict Policy

 

Strict policy enforcement by management is critical to lowering the risk of collisions in fleets. As fleet drivers represent a business, they must act responsibly and abide by company policy at all times. This includes when commercial vehicle drivers are behind the wheel of a company vehicle as they travel to a new work site or when they are delivering cargo. Such policies should look to reduce any risky behaviour like; distracted driving, driving under the influence (regardless of if the substance is legal), driving tired, or even driving over the set hours-of-service (HOS) in your country. 

 

While some of these policies could be hard to enforce and rely largely on trusting your drivers, it’s important to know that there are technological solutions available to help you! When monitoring the behaviour of your drivers, there are innovative dash camera solutions available that use facial recognition to watch facial movements as well as the vehicle movement on the road. So when a driver appears to be distracted, under the influence (swaying over the line), or even tired, managers can be notified to make contact with the driver to ensure they are okay to drive. As well, many ELD and GPS tracking tools like the GO9 device are designed to track not only driver movement, but compliance to HOS. So drivers are well aware whether they are compliant.

 

Pre-Trip Inspection And Proper Maintenance 

 

In addition to enforcing strict policies, managers must also reiterate the importance of keeping company vehicles in tip-top condition. This includes not only educating drivers on how to perform proper pre-trip inspections of vehicles, but scheduling maintenance so all commercial motor vehicle parts are in good condition, are working properly, and are safe to use. Doing this can lower the risk of a collision (that is caused by malfunctioning or broken parts). Such inspections should look at visually checking the engine, checking fluid levels, the wheels, the brakes, and more. A more extensive list about what should be checked can be found here

 

 

If a vehicle is placed on the road when there is a pending problem that requires repairs, it places the driver and others around the vehicle at risk. One way to combat the issue of poor maintenance is to use a maintenance management software solution. Solutions like Zendu Maintenance monitors not only the activity of the vehicle but it places the data in algorithms to determine and schedule when preventative maintenance should happen.

 

 

Proper Incident Investigations And Training 

 

As briefly mentioned, to reduce fleet collisions, managers must not only offer the right training, but complete proper investigations into driving incidents when they are reported. This includes using all of the available data and reports to determine what the cause of the incident was and put efforts in place to reduce the likelihood of a similar incident happening again.

 

For example, if an incident occurred because your driver was distracted and speeding while on the road, you can review dashcam footage as well as engine data to confirm the speed they were travelling at, as well how they were distracted (whether they were looking at scenery or even a mobile device). After this is confirmed, the information can allow for a new training module to be created and assigned to the driver to complete. This ensures that they are aware of how their behaviour puts themselves and others around them at risk, while showing how they can act more safely. 

 

Encouraging Safe Driving Habits

 

Similar to the above tip of management conducting proper investigations into driving incidents and implementing new driver-focused training, management must also encourage overall safe driving habits! This means constantly having drivers review training material surrounding this topic, sending out internal communication with tips or even conducting one-on-one driver driving to highlight poor driving trends that are happening. 

 

Some safe driving habits that can reduce fleet collisions are: 

  • Following distance while driving
  • Maintaining visibility 
  • Anticipating turns 
  • Keeping attention forward

 

 

Tech Adoption Via Telematics

 

The last way management can reduce fleet collisions is to adopt and embrace new technologies. This not only speaks to hardware solutions that have been designed to boost safety (such as dash camera solutions or electronic logging devices) but telematics software solutions as well! While some newer commercial motor vehicles are being fitted with such innovative tools while at the factory through OEM (original equipment manufacturer) programs, it can still happen for fleets with older vehicles. There are now a number of simple-to-install plug-and-play style devices that can have software solutions integrated via satellite connectivity. Such hardware and software can automatically collect data about the trip route and driver behaviour so management can always know how their drivers are performing. So when an incident happens and management is alerted by the telematics solution, they can quickly and efficiently address it. Not to mention, there are innovative devices that can be installed within vehicles to monitor the road ahead, alerting the driver if the sensors detect a possible collision coming. 

 

Safety should always be a top priority in fleets regardless of their size or purpose. Whether the driver is transporting large amounts of cargo or the driver is a technician who is travelling to their next site visit, you can’t risk them behaving dangerously on the road. With the above tips management should have the right insight to begin to reduce fleet collisions. However, if you’re looking for a little more guidance in how you can increase safety in your fleet to reduce accidents and dangerous behaviour, contact us today! With our experience and knowledge of nearly every industry, we’re confident that we can address all of your safety concerns with cutting edge technology.