We talk a lot about using data analytics in trucking for improved efficiency, predictive maintenance, and so on, but data analytics is an important tool in improving a fleet’s safety performance.
Data analytics, artificial intelligence and machine learning can help you identify problem areas that need to be addressed, from evaluating driver trainers to geographical problem areas. It can help you develop meaningful driver scorecards and rewards programs. In-cab data “on the edge” can alert drivers to upcoming trouble spots or risky driving practices. Predictive analytics can even help predict which drivers are most likely to be involved in a crash.
We’ll explore how to use data to improve fleet safety programs, with real-world experiences from fleets.
Sponsored by
Join HDT Business/Washington Contributing Editor David Cullen as he explores these issues with a panel of innovative fleet professionals who are using these technologies and can share their experiences and insights.
Sponsored by
Drivers... Harder to Find... Harder to Keep! The driver shortage is only deepening and becoming more complicated for fleets to address. The pandemic’s...
Sponsored by
media brand
The secure and easy all-access connection to your content.
Bookmarked content can then be accessed anytime on all of your logged in devices!
Already a member? Log In