Leveraging Data Science & Advanced Telematics Technology to Reduce Accident Risk (Medium- and Heavy-Duty Session)

October 29
7:00PM - 8:00PM (ET)

Although each fleet has its own unique safety challenges, there are specific indicators that significantly increase the likelihood of potential accidents, such as driving during high-risk hours, fatigued driving and hard braking. During this presentation, Azuga’s CEO will share results of its Accident Risk Model, which examines risky driving behaviors, and will outline how fleet managers can use advanced telematics technology to improve the safety of drivers and reduce accidents by an average of 38%.

Presenters: Ananth Rani, CEO & Co-Founder, Azuga; Matt Camden, Senior Research Associate, Virginia Tech Transportation Institute

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