No longer the stuff of fiction, artificial intelligence and machine learning are actively transforming how we live and do business in many different industries. We may not realize it, but these digital tools are all around us. They analyze how we shop online, stream entertainment, and operate vehicles, then adapt to our changing behaviors to suggest new purchases, new entertainment choices, and to keep drivers safe.
These artificial Intelligence systems can process information and adapt to promote change faster than any one person, or even a team of people, ever could. This speed is essential when a driver’s life could be on the line. According to the Federal Motor Carrier Safety Association, large trucks were involved in 475,000 crashes across the U.S. in 2016 – 3,864 of them fatal.
Artificial intelligence systems act to bring this number down in some large trucks, service vehicles, and passenger vehicles by gathering information on how we drive and teaching themselves to recognize new risks on the road. They can then alert drivers to danger or even assist in controlling the vehicle to avoid it.
Companies in our industry are using predictive analytics as a way of applying artificial intelligence and machine learning to improve the safety of their drivers. Artificial intelligence can indicate that a driver has a high likelihood of being involved in a preventable crash, allowing the company the opportunity to mitigate that potentially catastrophic event.
Your back-office can apply intelligence to data gathered from across your fleet to analyze driving behavior and performance, then give timely, advice to coach for safer and more efficient driving.
Visit our webpage on Predictive Risk Mitigation Analytics and see how fleets of all sizes can benefit from artificial intelligence and machine learning.
This is part two of a three-part series:
Improving driver retention with artificial intelligence & machine learning
Improving driver safety with artificial intelligence and machine learning
Reducing driver fatigue with artificial intelligence and machine learning