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Modeling human overtaking decisions with automated vehicles

Paper Authors:

Samir H. A. Mohammad,

Haneen Farah,

Arkady Zgonnikov

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Key Details

30 drivers interacted with automated and human-driven vehicles when overtaking

Oncoming vehicle acceleration profiles aimed to influence human decisions

Drivers showed no difference in overtaking with automated vs human-driven vehicles

Brief decelerations did not impact human overtaking behavior

Cognitive modeling highlighted key factors in human overtaking choices

AI generated summary

Modeling human overtaking decisions with automated vehicles

A driving simulator experiment was conducted where 30 participants repeatedly interacted with automated and human-driven vehicles during overtaking maneuvers. The automated vehicles used varying acceleration profiles, briefly decelerating then recovering speed, to try influencing the human drivers' decisions. However, the overtaking behavior and response times were unaffected by vehicle type or acceleration profiles. Cognitive modeling revealed a drift-diffusion process best explained the observed human gap acceptance decisions.

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