Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-8761
Main Title: How speed and visibility influence preferred headway distances in highly automated driving
Author(s): Siebert, Felix Wilhelm
Wallis, Fares Lian
Type: Article
Language Code: en
Abstract: While the introduction of highly automated vehicles promises lower accident numbers, a main requirement for wide use of these vehicles will be the acceptance by drivers. In this study a crucial variable for the acceptance of highly automated vehicles, the vehicle to vehicle distance expressed in time headway, was researched in a driving simulator. Research has shown that time headway distances, perceived as comfortable in self-driving and assisted driving with adaptive cruise control, remain constant over a range of different speeds. This study aims to test these findings for highly automated driving. Since time headway is perceived visually, the driving situation was varied to investigate the influence of visibility on the subjective comfort of the driver in a highly automated driving situation. In a within-subject design, drivers followed a passenger car in clear weather conditions, the same passenger car in fog which occluded parts of the traffic environment, as well as a truck that occluded the lane ahead, also in clear weather condition. Subjective comfort of drivers in each condition was rated with a haptic rating lever. Results suggest that comfortable time headway following distances in highly automated driving are not constant over different speeds, but that these distances decrease with increasing speed. Reduced visibility generally led to a shift in comfortable following distances towards larger headways. These results have implications for the introduction of highly automated vehicles and their time headway adjustments, which will need to be adaptive to speed and visibility in the road environment.
URI: https://depositonce.tu-berlin.de/handle/11303/9728
http://dx.doi.org/10.14279/depositonce-8761
Issue Date: 6-Jul-2019
Date Available: 14-Aug-2019
DDC Class: 380 Handel, Kommunikation, Verkehr
150 Psychologie
Subject(s): simulator study
automated driving
driving environment
speed
visibility
time headway
License: https://creativecommons.org/licenses/by-nc-nd/4.0/
Journal Title: Transportation Research Part F: Traffic Psychology and Behaviour
Publisher: Elsevier
Publisher Place: Amsterdam
Volume: 64
Publisher DOI: 10.1016/j.trf.2019.06.009
Page Start: 485
Page End: 494
EISSN: 1873-5517
ISSN: 1369-8478
Appears in Collections:FG Arbeits-, Ingenieur- und Organisationspsychologie » Publications

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