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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]
Copyright of Transportation Research: Part F is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: What to rely on – Implicit communication between pedestrians and turning automated vehicles.
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  Data: <searchLink fieldCode="AR" term="%22Harkin%2C+A%2E+Marie%22">Harkin, A. Marie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> anna_marie.harkin@tu-dresden.de</i><br /><searchLink fieldCode="AR" term="%22Harkin%2C+Kevin+A%2E%22">Harkin, Kevin A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Petzoldt%2C+Tibor%22">Petzoldt, Tibor</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> tibor.petzoldt@tu-dresden.de</i>
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  Data: <searchLink fieldCode="JN" term="%22Transportation+Research%3A+Part+F%22">Transportation Research: Part F</searchLink>. Oct2023, Vol. 98, p297-317. 21p.
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  Data: <searchLink fieldCode="DE" term="%22Autonomous+vehicles%22">Autonomous vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Pedestrians%22">Pedestrians</searchLink><br /><searchLink fieldCode="DE" term="%22Traffic+violations%22">Traffic violations</searchLink><br /><searchLink fieldCode="DE" term="%22Pedestrian+crosswalks%22">Pedestrian crosswalks</searchLink><br /><searchLink fieldCode="DE" term="%22Motor+vehicle+driving%22">Motor vehicle driving</searchLink><br /><searchLink fieldCode="DE" term="%22Acceleration+%28Mechanics%29%22">Acceleration (Mechanics)</searchLink>
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  Data: • 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]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Transportation Research: Part F is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=173098251
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      – Type: doi
        Value: 10.1016/j.trf.2023.08.004
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 297
    Subjects:
      – SubjectFull: Autonomous vehicles
        Type: general
      – SubjectFull: Pedestrians
        Type: general
      – SubjectFull: Traffic violations
        Type: general
      – SubjectFull: Pedestrian crosswalks
        Type: general
      – SubjectFull: Motor vehicle driving
        Type: general
      – SubjectFull: Acceleration (Mechanics)
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      – TitleFull: What to rely on – Implicit communication between pedestrians and turning automated vehicles.
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            NameFull: Harkin, Kevin A.
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            NameFull: Petzoldt, Tibor
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            – D: 01
              M: 10
              Text: Oct2023
              Type: published
              Y: 2023
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