Study by Virginia Tech Transportation Institute Reveals Motive’s AI Dashcam Successfully Alerts Drivers

Study observed the likelihood of successfully generating alerts for unsafe driving behaviors by latest models from Motive, Samsara, and Lytx

Motive, the leader in Automated Operations for the physical economy, announced the results of a controlled test track study conducted by the Virginia Tech Transportation Institute (VTTI) that found Motive’s AI Dashcam successfully generated alerts related to six unsafe driving behaviors 3-4 times more than the latest models from Samsara and Lytx. The Motive AI Dashcam successfully alerted drivers to unsafe driving behavior 86% of the time, compared to 21% for Samsara and 32% for Lytx.

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“When it comes to facilitating and reinforcing safety, enterprises increasingly understand the value of driver monitoring for their distributed operations”

“There is an epidemic of road accidents and fatalities that continues to worsen but, with advancements in AI, they should be getting better. Even worse, the principal cause of these accidents – including distracted and unsafe driving behavior – are 100% preventable,” said Shoaib Makani, co-founder and CEO at Motive. “The results of VTTI’s research are not just about comparing products. They show that these technologies don’t all perform the same, which can have major implications for accident prevention. At Motive, our goal is to achieve zero harm and zero preventable accidents. We will work tirelessly to improve our AI models and overall safety solution until we and our customers reach that goal.”

The study specifically observed the likelihood of each system (the Motive DC-54, Samsara’s HW-CM32 and the Lytx Drive Cam SF400) to generate alerts for common unsafe behaviors, and found the Motive AI Dashcam to be associated with statistically significant, higher likelihoods to achieve this. Distracted driving behaviors where this was particularly prominent included:

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• Phone Call Overall Alert Rates: Motive: 95%, Samsara: 38%, Lytx: 28%
• Texting Overall Alert Rates: Motive: 71%, Samsara: 30%, Lytx: 13%

The unsafe behaviors the study observed were close following, rolling stops and not using seat belts. At least one competitor model showed no successful alerts for either rolling stops or not using seatbelts, and there was a stark difference between the models in likelihood of generating an alert for close following:

• Rolling Stop: Motive 77%, Samsara 0%
  • The study excluded Lytx’s rolling stop alerts due to Lytx’s decision to deactivate the alert feature for all customers during the study period.
• Seat Belt Use: Motive 100%, Lytx 100%, Samsara 0% alert rate overall
• Close Following Overall Alert Rates: Motive: 67%, Samsara: 18%, Lytx: 28%

Finally, the AI Dashcam had significantly shorter time to alert compared to Lytx for phone call tasks, 45-degree texting, and no seatbelt trials and significantly shorter time to alert for close following trials compared to Samsara.

“The study highlights significant performance differences between the AI-powered dashcam providers in alerting drivers of unsafe driving behaviors across multiple conditions and scenarios,” said Susan Soccolich, Senior Researcher, Virginia Tech Transportation Institute. “VTTI conducts research to first and foremost save lives, from driver to passenger to pedestrian. Studies like this one can help progress safety in the transportation industry by identifying situations where technologies can improve its real-time alerts of unsafe behaviors to drivers.”

“When it comes to facilitating and reinforcing safety, enterprises increasingly understand the value of driver monitoring for their distributed operations,” said Mark Fontecchio, research analyst at S&P Global Market Intelligence. “Our recent Voice of Enterprise survey revealed that 64% of commercial trucking companies have driver monitoring in place today, underscoring the potential value for the industry and wider physical economy in continuing to innovate and improve the performance of these technologies, particularly with the integration of AI and IoT.”

Motive recently announced the launch of the AI Omnicam, the first ever AI-enabled camera built for side, rear, passenger, and cargo monitoring to provide an intelligent 360 degree view of fleet assets. In addition, the company recently rolled out a series of enhancements that expand the functionality of its leading Driver Safety Solution to combat worsening safety conditions.

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