Date of Award
2024
Document Type
Open Access Master's Thesis
Degree Name
Master of Science in Applied Cognitive Science and Human Factors (MS)
Administrative Home Department
Department of Cognitive and Learning Sciences
Advisor 1
Elizabeth Veinott
Committee Member 1
Samantha Smith
Committee Member 2
Pasi Lautala
Abstract
Driver noncompliance and poor decision-making are known contributors to highway-rail grade crossing incidents and accidents. Recent advances in intelligent in-vehicle warning systems have provided new opportunities for improved safety at highway-rail grade crossings. Intelligent warning systems that can communicate between connected vehicles and the infrastructure (V2I) have been proposed to improve safety. However, limited human factors research has been conducted regarding how drivers might react to these in-vehicle warnings. This study evaluated driver preferences, use cases, and message design variations for in-vehicle audiovisual warnings for rail crossing warning violations by varying two message factors: message length and whether the message content is a warning or a call to action. Results indicated that both message length and message content affected driver preferences and perceived usefulness depending on the type of highway-rail grade crossing scenario. These results have implications for future research implementing rail crossing warning systems and driving simulator behavior research.
Creative Commons License
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Recommended Citation
Walker, Samantha, "EXAMINING DRIVER PREFERENCES FOR INTELLIGENT AUDIOVISUAL WARNINGS AT HIGHWAY-RAIL GRADE CROSSINGS", Open Access Master's Thesis, Michigan Technological University, 2024.