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What to rely on – Implicit communication between pedestrians and turning automated vehicles.

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Title: What to rely on – Implicit communication between pedestrians and turning automated vehicles.
Authors: Harkin, A. Marie1 (AUTHOR) anna_marie.harkin@tu-dresden.de, Harkin, Kevin A.1 (AUTHOR), Petzoldt, Tibor1 (AUTHOR) tibor.petzoldt@tu-dresden.de
Source: Transportation Research: Part F. Oct2023, Vol. 98, p297-317. 21p.
Subjects: Autonomous vehicles, Pedestrians, Traffic violations, Pedestrian crosswalks, Motor vehicle driving, Acceleration (Mechanics)
Abstract: • Dynamics of turning vehicles as a means of communication were investigated. • Turning maneuvers involve deceleration, even if vehicles do not intend to stop. • A video-based laboratory study was conducted. • Driving dynamics remain the basis of pedestrians' crossing evaluations. Several studies have investigated implicit communication, such as driving dynamics, as a way to communicate vehicle or driver intention to pedestrians, indicating that "good" human driving behavior is sufficient to ensure a subjectively safe crossing, regardless of the vehicle's automation status. Using a video-based laboratory experiment, the present study investigates the extent to which such findings can be transferred to more complex driving maneuvers, such as turning. The results reveal that even in this case, driving dynamics and distance remain the main determinants of crossing decisions and perceived safety. To be able to draw conclusions for vehicle algorithms, more driving maneuvers need to be investigated and analyzed. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:• Dynamics of turning vehicles as a means of communication were investigated. • Turning maneuvers involve deceleration, even if vehicles do not intend to stop. • A video-based laboratory study was conducted. • Driving dynamics remain the basis of pedestrians' crossing evaluations. Several studies have investigated implicit communication, such as driving dynamics, as a way to communicate vehicle or driver intention to pedestrians, indicating that "good" human driving behavior is sufficient to ensure a subjectively safe crossing, regardless of the vehicle's automation status. Using a video-based laboratory experiment, the present study investigates the extent to which such findings can be transferred to more complex driving maneuvers, such as turning. The results reveal that even in this case, driving dynamics and distance remain the main determinants of crossing decisions and perceived safety. To be able to draw conclusions for vehicle algorithms, more driving maneuvers need to be investigated and analyzed. [ABSTRACT FROM AUTHOR]
ISSN:13698478
DOI:10.1016/j.trf.2023.08.004