The dual forces of advanced automation and AI are making waves in the road safety field by significantly reducing traffic accidents. Coupled with growing technology, we can expect more intelligent functions in crisis scenarios. The biggest reason behind truck or any type of accident is human error. But we can expect self-driving trucks in days to come to prevent similar collisions. Today, we will take a look at the different ways in which AI can help reduce truck crashes:

Collision Avoidance Systems

As the name suggests, AI can play a significant role in developing collision avoidance systems. Combining machine learning and AI can train neural networks to tackle multiple traffic scenarios. These systems learn from past experiences and improve with accurate detection of potential accidents. Various studies have revealed that accidents occur when drivers fail to hit the brakes at the right time. Getting an automated brake system can reduce lower rear-end truck crashes by more than 40%. Currently, the developers are developing a cooperative collision avoidance system wherein the trucks will share data wirelessly with an approaching truck to avoid an accident. 

Lane Departure Alerts

Often, truck drivers drift out of their driving lane to overtake another vehicle and reach their destination faster. However, this makes them and others vulnerable to sideswipe accidents, head-on collisions, and road shoulder accidents. With the help of advanced AI, onboard computers built into the trucks will monitor lane markings and align the truck’s position with them. A vibrating alert will inform the drivers of the unintentional lane deviation so they can self-correct on time. 

Rollover Warnings

Heavy trucks tend to roll over while maneuvering or cornering. This can be greatly reduced by sophisticated onboard systems powered by acceleration sensors. They will issue instant feedback, alerting the drivers of risky maneuvers before the situation gets out of hand. 

Driver Fatigue Monitoring

Driver monitoring systems powered by AI function to alert distracted or fatigued truck drivers. This usually happens when they do long-road travel spanning days or weeks. It is natural for them to get tired while behind the wheel. Statistics have revealed that 30% of all truck crashes occur due to drowsy drivers. AI systems can track facial expressions, eyelid movements, driving performance metrics, and similar indicators to detect drivers’ fatigue levels. They can also greatly help analyze a driver’s pose so that they can maintain the correct posture and not get distracted due to sudden body aches. 

Vehicle Maintenance

Large truck crashes often occur due to mechanical defects, such as malfunctioning steering, faulty brake lines, cracked wheels, and worn-out tires. IoT sensors can monitor critical truck parts continuously and identify abnormalities so drivers can perform preventive maintenance.

Conclusion

Most self-driven cars are currently in the R&D phase and are years away from being fully functional. In such a case, truck drivers need to exercise vigilance while they sit behind the wheel. Irrespective of numerous precautions, mishaps might happen. If you or any of your loved one undergoes a massive loss of life or property due to any truck accidents, then you can contact the Georgia truck accident lawyers to secure your rightful claim.