Artificial intelligence now plays a dynamic role in the trucking industry. Artificial intelligence and IoT-powered telematics produced more data and automation, but it was still difficult to see what was actually happening on the road. A truck accident results in $ 16,500 in damages and $ 57,500 in injury-related costs totaling $ 74,000, according to Yoav Banin. Banin is Nauto’s Chief Product Officer. Nauto offers solutions for driver and fleet performance.
Truckers are the backbone of the American supply chain.
Truckers and telematics; a winning team
Considering other challenges faced by the trucking industry, it is essential to emphasize truck driving safety.
The first priority in this matter is the shortage of truck drivers across the country. This could lead fleet operators to hire less experienced truck drivers and require less safety training. Truck parking is second in priority. Finally, a third priority is driver compensation.
This shortage depends on safe driving records.
Fleet operators managed safety risks in the past through training programs, manual training sessions, and driver trips.
Continuing importance of training programs
Most of the training programs are commercial companies from truck driving schools throughout the United States. Truck driving schools have been a popular option in recent decades. However, the number of truck driving schools has remained static.
In some cases, it has dropped quite a bit. These two factors make it difficult for many potential students to access required driving programs. This limits the number of new truck drivers available to hire today. Artificial intelligence now also plays a dynamic role in training programs.
Manual coaching sessions are less and less common. Professional truck drivers are increasingly reluctant to spend their time on low-wage manual training. Truckers make more money driving alone. And veteran drivers who seem more willing to undergo manual training tend to have the worst driving records.
Due to increasing state and federal restrictions on professional truck drivers and interest in autonomous trucks, trips along the highway are increasingly rare. Additional insurance is part of the restrictions placed on professional truck drivers for travel. The company or veteran trucker has the insurance.
The above three challenges are simply the tip of the iceberg. Many more challenges are faced by truck drivers and their employers. The bottom line is that truckers must maintain a flawless driving record.
What Truck Experts Say
Banin stated that all of these manual approaches did not scale well. Banin finds manual data collection highly unpredictable. Data collection on risky driving behaviors did not always reflect driving results. In-camera sensors, GPS, and deep learning neural networks are now crucial elements in data collection.
In the early 2000s, fleet managers began looking for even better methods. They introduced telematics using Internet of Things detection and recording devices. As a result, these IoT devices measured the driving characteristics based on the movement of the vehicle. Acceleration, speed and braking are crucial for accurate telematics. The devices reported the data to central databases and applications in the corporate office.
IoT-powered telematics produced more data and automation, but it was still difficult to see what was actually happening on the road.
Banin used the example of hard braking, which is usually negative in any telematics system. However, the system sees it as part of defensive driving.
Banin says defensive driving is key to avoiding accidents. Telematics and IoT are great for understanding vehicle health, fuel consumption, and identifying potential maintenance issues that could pose a risk. But they can’t tell us the main causes of accidents, because accident prevention is where the focus should be.
Security measures must be predictive: artificial intelligence can help
Analytics may be missing an ingredient. Fleet managers realized this and began adding artificial intelligence and computer vision to telematics and IoT. As a result, fleet managers now have the complete picture they were looking for in terms of driver safety and road conditions thanks to artificial intelligence and other big data technologies such as computer vision.
Banin says that predictive safety systems can now understand driver behavior and condition, including distractions, drowsiness and cell phone use. As a result, predictive safety systems provide useful information, as well as warnings about potential collisions. All based on the dynamics of the vehicle. Because of this, it is possible to give drivers more warning time to help them increase their attention and take preventive measures to avoid collisions.
The value of AI for truckers
Artificial intelligence technology It is widely used in trucks to enable real-time road and driver assessments. Banin claims that artificial intelligence technology can alert the driver to dangerous conditions. And as noted above, this can help reduce collisions by 50-80%.
Fleet managers can improve safety and reduce risk by using more sophisticated scoring models for drivers.
Banin stated, “At the end of the day, it’s about saving money and, most importantly, saving lives.” “Predictive safety technology and analytics technologies have already helped fleets reduce collision losses, lower insurance premiums, and prevent road injuries and fatalities.” This is how artificial intelligence now plays a dynamic role in the trucking industry.
Image credit: Pexels; Thanks!