Characterizing Driver Speeding Behavior When Using Partial-automation in Real-world Driving

by Adam Felts

AgeLab Postdoctoral Associate Samantha Haus is the lead author of a paper published in Traffic Injury Prevention on the types and prevalence of speeding behaviors among drivers using automated systems in vehicles.

The paper summarizes data from an ongoing data collection effort that collects real-time footage of driver behavior in technologically advanced vehicles on public roads. The study is part of the AgeLab’s Advanced Vehicle Technology consortium (AVT).

Dr. Haus and her collaborators compared speeding behaviors between drivers who had automated systems engaged versus those who didn’t. The use of automation did not eliminate or introduce new types of speeding behaviors, but rather modified the characteristics of the observed behaviors.

Drivers’ speeding behaviors when using partial-automation tended to have longer durations, lower maximum speeds, and smaller standard deviations compared to speeding in manual driving.

The decreased and less variable maximum speeds of drivers who use -automation may mean that their speeding behavior is less risky than those who do not use the technology—however, if drivers who speed with automation are also engaging in secondary, distractive behavior , they may be at even greater risk.

Pnina Gershon supervised this study, with Bruce Mehler and Bryan Reimer as co-authors of the paper.

Learn more about the paper here.

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About the Author

Photo of Adam Felts
Adam Felts

Adam Felts is a researcher and writer at the MIT AgeLab. Currently he is involved in research on the experiences of family caregivers and the future of financial advice. He also manages the AgeLab blog and newsletter. He received his Master's in Fine Arts in Creative Writing from Boston University in 2014 and his Master's of Theological Studies from Boston University in 2019.

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