کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7257625 1472429 2018 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Should drivers be informed about the equipment of drivers with green light optimal speed advisory (GLOSA)?
کلمات کلیدی
موضوعات مرتبط
علوم انسانی و اجتماعی روانشناسی روان شناسی کاربردی
پیش نمایش صفحه اول مقاله
Should drivers be informed about the equipment of drivers with green light optimal speed advisory (GLOSA)?
چکیده انگلیسی
Previous research demonstrated that green light optimal speed advisory (GLOSA) affects driving behavior at signalized intersections: On the one hand, drivers assisted with GLOSA show more energy-efficient and eco-friendly driving. Following unequipped vehicles' drivers (UVDs) also adapt their driving behavior to the assisted one. On the other hand, safety issues can be found in encounters with UVDs who also perceive assisted driving behavior negatively. Therefore, in a multi-driver simulator study (N = 60 participants sorted in groups of n = 2 UVDs), we tested whether informing UVDs about the GLOSA of an assisted driver results in more behavioral adaptation of UVDs to the assisted driving behavior, less safety issues, and less frustration of UVDs. Two UVDs followed a lead vehicle driven by a confederate. The confederate was equipped with GLOSA and knew when traffic lights switched from green to red and, consequently, slowed down when approaching a green traffic light. The degree of information UVDs received was manipulated: The group “no information” did not receive any information. The group “information” knew about the equipment of the assisted confederate with GLOSA and the group “detailed information” received additional information about its functionality and benefit. Results show that UVDs of the group “detailed information” adapted their driving behavior to the assisted driver. However, these UVDs also showed smaller minimum time-to-collision (TTC) values indicating safety issues. Results are discussed and implications made with regard to providing information to UVDs and to further investigate these challenges in the context of autonomous vehicles.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Part F: Traffic Psychology and Behaviour - Volume 58, October 2018, Pages 536-547
نویسندگان
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