The Evolution of Driver Safety Programs: AI/ML and the Power of Predictive Analytics Recapped

Est. 3 min read

We met with Boyle Transportation’s Director of EHS & Quality, Michael Lasko, TForce Freight’s Director of Health & Safety, Scott Reagan, and Idelic’s CTO, Brian Filip, in a virtual event to discuss how Artificial Intelligence (AI) and Machine Learning (ML) are leveraged by the safest fleets to optimize driver safety programs.

“Early” Safety Programs before AI

Commercial Carrier Journal reported in 2020 that the average truck generates about 2.5 terabytes of data per year, including data from telematics, electronic logging devices (ELDs), and other sensors. This makes the use of systems like telematics, camera events, police/witness reports, etc. helpful, but not an efficient or effective way to monitor driver behavior. Trying to make sense of all this data alone creates a reactive approach to risk management, less targeted training, and a noncomprehensive view of driver data. The results include additional losses, higher CSA scores, and higher insurance costs.

This means more data is not the answer – what’s most important is finding an efficient way to use that data.

Artificial Intelligence in Trucking

Commercial fleets looking to this vast array of technology are finding they need to put their multiple data sources to work and discover a more proactive view of risky driver behavior. According to MarketsandMarkets, the global fleet management market was estimated to be worth $15.9 billion in 2020 and is projected to reach $31.5 billion by 2025, suggesting the use of fleet management technologies is growing rapidly. A leader in these technologies includes AI/ML, which combines systems (sensors, cameras, other driver monitoring programs), analyzes data to identify patterns in driver behavior (like distracted driving), helps fleet managers provide personalized coaching, and reduces the risk of crashes and associated costs.

MarketsandMarkets also predicts the driver safety market will grow from $2.9 billion in 2020 to $4.6 billion by 2025, driven in part by the adoption of AI and ML technologies as fleets push to use their data to increase their focus on reducing costs, improving safety, and increasing efficiency. 

Watch the full webinar recording here to hear how these industry leaders are approaching driver safety investments and programs in their fleets, the latest in predictive analytic technologies, and the consequences for fleets who choose not to modernize their existing safety programs.

Learn more about this topic by reading our top questions

Idelic hosted a webinar with TCA – Out of the event there were several questions we did not have time to answer. Download now to read some of the top comments and questions asked.


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